Business frontline personnel online training and examination processing method and device and related equipment

Abstract

The invention relates to the technical field of artificial intelligence, discloses a large language model-based online training and examination processing method, device and equipment for business front-line personnel, and a medium, and aims to solve the problem of poor online training and examination effect of the business front-line personnel in the prior art. A business training information feature matrix and a corresponding target person business training portrait are constructed, the target person business training portrait is used as prompt word content, and based on a large language model, a target business training text corresponding to a preset business front line target person is generated; according to the invention, on-line training and examination are carried out on the preset business front-line target personnel, so that corresponding personalized and targeted on-line training and examination are carried out according to the business conditions of the preset business front-line target personnel corresponding to the business training and examination information data of the target personnel. The effectiveness and the training effect of online training of the business front-line personnel can be improved, and the method can be applied to the financial field and the insurance field, including but not limited to the financial field and the insurance field.

Description

Technical Field

[0001] The present invention relates to the fields of artificial intelligence technology and financial technology, and in particular to a method, device, equipment and medium for processing online training and examination for frontline business personnel based on a large-scale language model. Background Art

[0002] In modern business organizations, training and assessment (abbreviated as training and assessment) are core mechanisms for enhancing organizational competitiveness and ensuring sustainable business development. With the development of computer technology and artificial intelligence, training and assessment are increasingly leveraging advanced online multimedia technologies to enhance their effectiveness. For example, in the insurance industry, training and assessment of frontline personnel are key to improving insurance business capabilities and service quality. Furthermore, due to the unique characteristics of the insurance industry, there is a strong demand for high-quality training and assessment for frontline personnel.

[0003] In traditional technology, as an excellent representative of training front-line business personnel, the insurance industry's training and assessment are generally carried out through online multimedia methods, with high-quality training courses and effective assessment methods set up as much as possible to conduct unified training and assessment for all front-line business personnel.

[0004] However, the inventors realized that although the training and assessment of front-line business personnel through online multimedia methods and based on high-quality training courses and effective assessment methods have improved training efficiency compared to corresponding offline training and assessment, the unified online training and assessment of all front-line business personnel has a "one-size-fits-all" and relatively simple approach due to the unified setting of training and assessment methods, which in turn leads to uneven training results and the inability to effectively train the practical response capabilities of front-line business personnel. Faced with diverse customer needs, front-line business personnel are easily at a loss.

[0005] Therefore, how to effectively improve the effectiveness of online training and assessment of frontline business personnel through technical means has become a technical problem that needs to be urgently solved, including but not limited to the field of financial technology. Summary of the Invention

[0006] The present invention provides a method, device, computer equipment and medium for processing online training and examination for front-line business personnel based on a large language model, which can solve the technical problem of poor online training and examination results for front-line business personnel in traditional technologies.

[0007] In a first aspect, a method for processing online training and examination for frontline business personnel based on a large-scale language model is provided, comprising: determining target personnel business training and examination information data corresponding to preset frontline business target personnel; constructing a business training and examination information feature matrix corresponding to the preset frontline business target personnel based on the target personnel business training and examination information data and based on a preset training and examination information feature matrix construction method; constructing a target personnel business training and examination profile corresponding to the preset frontline business target personnel based on the business training and examination information feature matrix and based on a preset user portrait construction method; determining a preset frontline business training and examination prompt word template, and embedding the target personnel business training and examination profile into the preset frontline business training and examination prompt word template to obtain target business training and examination prompt words; generating a large-scale language model based on the target business training and examination prompt words and based on the preset business training and examination text to generate a target business training and examination text corresponding to the preset frontline business target personnel; and conducting a frontline business training and examination on the preset frontline business target personnel based on the target business training and examination text.

[0008] In a second aspect, a large-scale language model-based online training and examination processing device for frontline business personnel is provided, comprising: a first determination module for determining target personnel business training and examination information data corresponding to a preset frontline business target personnel; a first construction module for constructing a business training and examination information feature matrix corresponding to the preset frontline business target personnel based on the target personnel business training and examination information data and a preset training and examination information feature matrix construction method; a first portrait module for constructing a target personnel business training and examination portrait corresponding to the preset frontline business target personnel based on the business training and examination information feature matrix and a preset user portrait construction method; a first embedding module for determining a preset frontline business training and examination prompt word template and embedding the target personnel business training and examination portrait into the preset frontline business training and examination prompt word template to obtain a target business training and examination prompt word; a first generation module for generating a large-scale language model based on the target business training and examination prompt word and a preset business training and examination text to generate a target business training and examination text corresponding to the preset frontline business target personnel; and a first training and examination module for conducting a frontline business training and examination on the preset frontline business target personnel based on the target business training and examination text.

[0009] In a third aspect, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0010] In a fourth aspect, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0011] In the scheme implemented by the above-mentioned online training and examination processing method, device, computer equipment and storage medium for business front-line personnel based on a large-scale language model, the method constructs a business training and examination information feature matrix and its corresponding business training and examination portrait of the target personnel, and then uses the business training and examination portrait of the target personnel as the corresponding prompt word content, and based on the large-scale language model, generates the target business training and examination text corresponding to the preset business front-line target personnel to train and examine the preset business front-line target personnel. It can realize corresponding personalized targeted online training and assessment based on the business conditions faced by the preset business front-line target personnel corresponding to the target personnel business training and examination information data, and can improve the effectiveness and training effect of online training and examination for business front-line personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0013] Figure 1 A flowchart of a method for processing online training and examinations for frontline business personnel based on a large-scale language model provided by an embodiment of the present invention;

[0014] Figure 2 A schematic diagram of the first sub-flow of the method for processing online training and examination for frontline business personnel based on a large language model provided by an embodiment of the present invention;

[0015] Figure 3 A schematic diagram of a second sub-flow of the method for processing online training and examination for frontline business personnel based on a large language model provided by an embodiment of the present invention;

[0016] Figure 4 A schematic block diagram of an online training and examination processing device for frontline business personnel based on a large language model provided by an embodiment of the present invention;

[0017] Figure 5 It is a structural diagram of a computer device in one embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0019] It will be understood that when used in this specification and the appended claims, the terms “comprises” and “comprising” indicate the presence of described features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0020] An embodiment of the present invention provides a method for online training and assessment of frontline business personnel based on a large-scale language model. The method can be applied to computer devices including but not limited to smartphones, tablet computers, desktop computers, servers, cloud platforms, and can be used in the training and assessment of frontline business personnel in fields including but not limited to finance and insurance.

[0021] The following embodiments of the present invention are described in detail with reference to the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments may be combined with each other.

[0022] See also Figure 1 , Figure 1 A flow chart of a method for processing online training and examination for frontline personnel based on a large language model provided by an embodiment of the present invention. Figure 1 As shown, the method includes but is not limited to the following steps S11-S16:

[0023] S11. Determine target personnel business training and examination information data corresponding to preset target personnel on the business front line.

[0024] Explanatory purposes, the pre-set frontline target personnel refer to the frontline personnel who are the targets of online training and assessment. The target personnel business training and assessment information data represents information data related to frontline business training and assessment corresponding to the pre-set frontline target personnel. This target personnel business training and assessment information data includes, but is not limited to, the pre-set frontline target personnel's knowledge structure, historical training records, historical performance information, customer base information, regional market characteristics, and the company's business products.

[0025] According to the above conception and description, when conducting online training and assessment of front-line business for preset business front-line target personnel, the corresponding business training and assessment information data is first determined. Therefore, the business training and assessment information data of the target personnel include both the common information data of different business front-line target personnel, such as the company's business goals, business strategies, relevant policies and other related information data, and the personalized and unique information data corresponding to the preset business front-line target personnel themselves. Therefore, the business training and assessment information data of the target personnel are reflected as "one thousand faces for one thousand people". Subsequently, personalized training and assessment content can be generated according to the individual differences and needs of the front-line business personnel, thereby improving the pertinence and effectiveness of the training and assessment.

[0026] For example, in the insurance field, when conducting corresponding online insurance front-line business training and assessment for insurance front-line business personnel, namely insurance agents, the corresponding insurance business training and examination information data is first determined. The insurance business training and examination information data includes but is not limited to the insurance agent's own insurance knowledge structure, insurance front-line business historical training records, insured customer group characteristics, and insurance regional market information.

[0027] S12. Construct a business training and examination information feature matrix corresponding to the preset business front-line target personnel based on the business training and examination information data of the target personnel and a preset training and examination information feature matrix construction method.

[0028] Explanatoryally, the pre-set training and examination information feature matrix construction method, that is, the preset training and examination information feature matrix construction method, the preset training and examination information feature matrix construction method represents a pre-set method of constructing the information feature matrix of the training and examination information corresponding to the above-mentioned target personnel business training and examination information data. The preset training and examination information feature matrix construction method includes but is not limited to the feature matrix construction of structured data, the feature matrix construction of semi-structured data, the feature matrix construction of unstructured data and a combination of at least two of the above. The corresponding information feature extraction methods involved above can refer to the existing corresponding technical means and will not be repeated here.

[0029] According to the above conception and arrangement, based on the preset training and examination information feature matrix construction method, and according to the different types of information data structure types corresponding to the structured information data, semi-structured information data, and unstructured information data of the target personnel's business training and examination information data, the target personnel's business training and examination information data is feature extracted and composed into a feature matrix to obtain the business training and examination information feature matrix corresponding to the preset business front-line target personnel. The business training and examination information feature matrix represents a feature matrix based on the target personnel's business training and examination information data. Similar to the target personnel's business training and examination information data, the business training and examination information feature matrix is ​​also a personalized and unique corresponding information feature matrix corresponding to the preset business front-line target personnel.

[0030] S13. According to the business training and examination information feature matrix and based on a preset user portrait construction method, a business training and examination portrait of the target personnel corresponding to the preset business front-line target personnel is constructed.

[0031] Explanatory speaking, the pre-set user portrait construction method, that is, the preset user portrait construction method, refers to the pre-set method of constructing user portraits corresponding to the preset business front-line target personnel, wherein the user portrait (User Persona), also known as the user role or character model, is usually presented in the form of "name + label".

[0032] Based on the above concepts and settings, a business training and examination profile for each target frontline employee is constructed based on the business training and examination information feature matrix and the pre-set user profile construction method. This profile represents the user profile of the pre-set frontline employee undergoing online business training and assessment. For example, in the insurance sector, an exemplary insurance agent user profile might be described as follows: User Profile: New Insurance Agent (Persona); Name: Zhang San (a fictitious character); Age: 25-30; Gender: Female (adjustable based on actual data); Years of Experience: <1 year; Core Characteristics: Limited understanding of insurance products, reliance on basic company training (e.g., critical illness and medical insurance terms), lack of sales experience, stilted sales pitch, and prone to customer skepticism.

[0033] S14: Determine a preset front-line business training and examination prompt word template, and embed the target personnel business training and examination portrait into the preset front-line business training and examination prompt word template to obtain the target business training and examination prompt word.

[0034] Explanatoryally, a front-line business training and examination prompt word template is pre-set, that is, a preset front-line business training and examination prompt word template. The preset front-line business training and examination prompt word template represents a template based on the large language model prompt word for online front-line business training or the online assessment corresponding to the online front-line business training. Among them, the large language model (LLM) is an artificial intelligence-based model, mainly used to understand and generate natural language text, and can complete corresponding text tasks. The prompt word (Prompt) of the large language model (LLM) is a piece of text or instruction input by the user, used to guide the large language model to generate a text response of the corresponding type. The prompt word of the large language model can refer to the existing corresponding technical means, which will not be repeated here.

[0035] According to the above ideas and settings, the preset front-line business training and examination prompt word template is determined, and the business training and examination portrait of the target personnel is embedded in the preset front-line business training and examination prompt word template to obtain the target business training and examination prompt word, thereby generating personalized and customized corresponding prompt words corresponding to the preset business front-line target personnel, and then generating the corresponding target business training and examination text according to the target business training and examination prompt word to carry out corresponding online front-line business training and assessment for the preset business front-line target personnel, which can improve the effectiveness and training effect of online training and examination for business front-line personnel.

[0036] S15. Generate a large language model based on the target business training test prompt words and preset business training test texts, and generate target business training test texts corresponding to the preset business frontline target personnel.

[0037] Explanatoryally, a large language model for generating business training texts is pre-set, that is, a large language model for generating business training texts is preset. The large language model for generating business training texts is preset, which means a business training text generation model based on a large language model. As described above, the large language model can refer to the existing corresponding technical means and will not be repeated here. The business training text represents the textual content required for online front-line business training and corresponding online assessment of preset business front-line target personnel.

[0038] Based on the above ideas and settings, a large language model is generated according to the target business training prompt words and based on the preset business training text, so as to generate the target business training text corresponding to the preset business front-line target personnel with the help of the powerful language understanding and generation capabilities of the large language model. The target business training text represents the target textual content required for online front-line business training and the corresponding online assessment of the preset business front-line target personnel. The target business training text is the online training content or online assessment content for online front-line business training and the corresponding online assessment of the preset business front-line target personnel, thereby generating personalized and customized target business training texts for the preset business front-line target personnel.

[0039] S16. Conduct frontline business training and examination for the preset frontline target personnel according to the target business training and examination text.

[0040] Explanatory note: Based on the target business training and examination text, as described above, the target business training and examination text is the corresponding online training content or online assessment content, and frontline business training and examination are conducted for the preset frontline target personnel. Training and examination refers to training and assessment, that is, online training on frontline business operations and the corresponding online assessment are conducted for the preset frontline target personnel. Exemplarily, by converting the target business training and examination text into corresponding audio and video content for the corresponding online training and the corresponding online assessment, online training or online assessment of frontline business operations is conducted for the preset frontline target personnel based on the corresponding audio and video. The corresponding production technologies for the corresponding audio and video can refer to existing technical solutions and will not be elaborated on here.

[0041] It should be noted that the embodiments of the present invention do not limit the specific usage and form of the target business training and examination text. It only needs to be emphasized that based on the information content corresponding to the target business training and examination text, online training or online assessment of front-line business is conducted for preset business front-line target personnel, thereby realizing personalized, customized, and targeted online training or online assessment of front-line business for preset business front-line target personnel, and realizing "one-size-fits-all" corresponding online training and assessment.

[0042] In an embodiment of the present invention, training is conducted for pre-set frontline target personnel by constructing a business training and examination information feature matrix and its corresponding business training and examination profile for the target personnel. The target personnel's business training and examination profile is then used as the corresponding prompt content. Based on a large-scale language model, a target business training and examination text corresponding to the pre-set frontline target personnel is generated. Because both the business training and examination information feature matrix and the target personnel's business training and examination profile are constructed based on the personalized and unique target personnel business training and examination information data corresponding to the pre-set frontline target personnel, the corresponding prompt content is also the personalized and unique prompt content corresponding to the pre-set frontline target personnel. Consequently, leveraging the powerful language understanding and generation capabilities of the large-scale language model, the personalized and unique target business training and examination text corresponding to the pre-set frontline target personnel is generated. This allows the target personnel's business training and examination information data to be combined with external business needs. This allows for personalized and targeted training and examination based on the business conditions faced by the pre-set frontline target personnel corresponding to the target personnel's business training and examination information data, thereby improving the effectiveness and training results of online training and examinations for frontline target personnel.

[0043] In one embodiment, the target personnel business training and examination information data includes preset target personnel business training internal information data and preset target personnel business training external information data; based on the target personnel business training and examination information data and based on a preset training and examination information feature matrix construction method, a business training and examination information feature matrix corresponding to the preset business frontline target personnel is constructed, including:

[0044] Based on a preset information feature extraction method, information features are extracted from the business training self-information data of the preset target personnel to obtain the business training self-information features, and information features are extracted from the business training external information data of the preset target personnel to obtain the business training external information features;

[0045] The business training information features themselves and the business training external information features are combined into a feature matrix to obtain the business training information feature matrix corresponding to the preset business front-line target personnel.

[0046] Explanatory terms, the pre-set target personnel business training self-information data, i.e., the preset target personnel business training self-information data, represents the self-information data required for the preset business front-line target personnel to conduct front-line business online training. The pre-set target personnel business training self-information data includes, but is not limited to, the preset business front-line target personnel's years of experience, professional qualifications held, historical front-line business training, behavioral characteristics, and front-line business performance-related information data corresponding to the preset business front-line target personnel. Similarly, the pre-set target personnel business training external information data, i.e., the preset target personnel business training external information data, represents the information data other than the self-information data required for the preset business front-line target personnel to conduct front-line business online training. The pre-set target personnel business training external information data includes, but is not limited to, the preset business front-line target personnel's corresponding product knowledge, front-line business customer base, regional market information, relevant policies and regulations, and the pre-set customer development tools-related information data other than the self-information data. In addition, an information feature extraction method is pre-set, that is, a preset information feature extraction method. The preset information feature extraction method represents a method for extracting information features corresponding to target personnel business training and examination information data. Information feature extraction can refer to existing corresponding technical means and will not be repeated here.

[0047] According to the above conception and setting, based on the preset information feature extraction method, the business training self-information data of the preset target personnel are subjected to information feature extraction to obtain the business training self-information features, and the business training external information data of the preset target personnel are subjected to information feature extraction to obtain the business training external information features. Then, the business training self-information features and the business training external information features are combined into a feature matrix to obtain the business training information feature matrix corresponding to the preset business front-line target personnel, thereby extracting information features from the corresponding information data of the internal and external dimensions corresponding to the preset business front-line target personnel themselves, and then conducting corresponding front-line business training for the preset business front-line target personnel.

[0048] The embodiment of the present invention combines the self-information data of the preset business front-line target personnel for business training with external information data to conduct corresponding front-line business training for the preset business front-line target personnel, thereby combining the business level of the preset business front-line target personnel themselves with external business needs, and conducting front-line business training for the business front-line target personnel, so that the front-line business training is highly consistent with the business level of the preset business front-line target personnel themselves and the external business environment conditions, which can improve the effectiveness and training effect of online training for business front-line personnel.

[0049] In one embodiment, the preset target personnel business training self-information data includes at least one of the following: preset personal professional background information data, preset personality and psychological information data; the preset target personnel business training external information data includes at least one of the following: preset front-line business product information data, preset target area market information data; based on a preset information feature extraction method, the preset target personnel business training self-information data is subjected to information feature extraction to obtain business training self-information features, and the preset target personnel business training external information data is subjected to information feature extraction to obtain business training external information features, including:

[0050] Based on a preset information feature extraction method, the preset personal occupational background information data is subjected to information feature extraction to obtain personal occupational background information features corresponding to the information features of the business training itself;

[0051] Extracting information features from the preset self-personality and psychological information data to obtain personality and psychological information features corresponding to the business training self-information features;

[0052] Extracting information features from the preset front-line business product information data to obtain front-line business product information features corresponding to the business training external information features;

[0053] The preset target regional market information data is subjected to information feature extraction to obtain regional market information features corresponding to the business training external information features.

[0054] Explanatoryally, similar to the above, the preset personal professional background information data refers to information data related to the professional background of preset frontline business target personnel related to frontline business. The preset personal professional background information data includes, but is not limited to, preset professional qualification information data and preset performance and experience information data. Preset professional qualification information data includes, but is not limited to, professional qualification certificate information data and industry certification information data. Preset performance and experience information data includes, but is not limited to, continuing education or historical training record information data, historical typical transaction case information data, industry honor information data, and years of experience information data. Similarly, the preset personality and psychological information data includes, but is not limited to, personality and psychological information data corresponding to conscientiousness and extroversion. The preset frontline business product information data includes, but is not limited to, relevant information data corresponding to service knowledge or product knowledge corresponding to frontline business, and business resource utilization efficiency information data. The preset target regional market information data includes, but is not limited to, relevant information data corresponding to the preset frontline business customer base information data, preset regional market characteristics information data, preset target scenario adaptability information data, and preset business compliance and safety information data for the regional market corresponding to the preset frontline business target personnel.

[0055] According to the above-mentioned conception and setting, based on the preset information feature extraction method, the preset personal occupational background information data is subjected to information feature extraction to obtain the personal occupational background information features corresponding to the business training's own information features; the preset own personality and psychological information data is subjected to information feature extraction to obtain the personality and psychological information features corresponding to the business training's own information features; the preset front-line business product information data is subjected to information feature extraction to obtain the front-line business product information features corresponding to the business training's external information features; the preset target area market information data is subjected to information feature extraction to obtain the regional market information features corresponding to the business training's external information features.

[0056] Among them, the preset personal career background information data and the preset own personality and psychological information data focus more on describing the corresponding information characteristics from the perspective of the personal business capabilities of the preset business front-line target personnel themselves, and the preset front-line business product information data and the preset target regional market information data focus more on describing the corresponding information characteristics from the perspective of the front-line business environment corresponding to the business products and business markets. Then, based on the above-mentioned personal career background information characteristics, personality and psychological information characteristics, front-line business product information characteristics, and regional market information characteristics, a business training information feature matrix including "personal ability information characteristics, front-line business product information characteristics, and regional market information characteristics" is constructed to realize the spatiotemporal correlation feature model of the "personal ability-stage product strategy-regional market" feature matrix.

[0057] The embodiment of the present invention, by constructing a personal and spatiotemporal correlation feature model of the "personal capability-stage product strategy-regional market" feature matrix, realizes combining the business capabilities of the preset business front target personnel with external business characteristics (products and markets), and provides all-round, customized and personalized front-line business training for the business front target personnel, which not only ensures the uniformity of business product training, but also ensures the personalized adaptation of the business capabilities of the business front target personnel themselves and the regional market, so that the front-line business training is highly specifically matched with the business level and external business environment conditions faced by the preset business front target personnel, that is, it is realized that corresponding personalized targeted training is carried out according to the specific business internal and external conditions faced by the preset business front target personnel themselves, which can improve the effectiveness and training effect of online training for business front-line personnel.

[0058] In one embodiment, the target personnel business training and examination information data includes preset target personnel business assessment internal information data and preset target personnel business assessment external information data; based on the target personnel business training and examination information data and based on a preset training and examination information feature matrix construction method, a business training and examination information feature matrix corresponding to the preset business frontline target personnel is constructed, including:

[0059] Based on a preset information feature extraction method, extract information features from the preset target personnel's business assessment information data to obtain the business assessment's own information features, and extract information features from the preset target personnel's business assessment external information data to obtain the business assessment external information features;

[0060] The business assessment information characteristics themselves and the business assessment external information characteristics are combined into a feature matrix to obtain the business assessment information feature matrix corresponding to the preset business front-line target personnel.

[0061] Explanatoryally, similar to the above-mentioned preset target personnel business training self-information data and preset target personnel business training external information data, the preset target personnel business assessment self-information data includes but is not limited to preset product knowledge information data, preset business compliance and safety information data, preset expression skills information data, preset communication skills information data, and the preset target personnel business assessment external information data includes but is not limited to preset target scenario adaptation information data and preset business resource tool utilization information data.

[0062] According to the above conception and setting, based on the preset information feature extraction method, the business assessment information data of the preset target personnel are subjected to information feature extraction to obtain the business assessment information feature itself, and the business assessment external information data of the preset target personnel are subjected to information feature extraction to obtain the business assessment external information feature. Then, the business assessment information feature itself and the business assessment external information feature are combined into a feature matrix to obtain the business assessment information feature matrix corresponding to the preset business front-line target personnel, thereby extracting information features from the corresponding information data of the internal and external dimensions corresponding to the preset business front-line target personnel themselves, and then making a comprehensive internal and external portrait of the front-line business of the preset business front-line target personnel, so as to combine the internal and external conditions of the preset business front-line target personnel to conduct corresponding online front-line business assessments on the preset business front-line target personnel, and realize corresponding personalized targeted online assessments based on the internal and external business conditions faced by the preset business front-line target personnel themselves.

[0063] For example, in the insurance field, for insurance agents, the preset target insurance agent business assessment self-information data includes but is not limited to preset insurance product knowledge information data, preset insurance business compliance and safety information data, preset expression skills information data, and preset communication skills information data, so that the insurance agents can be assessed from the perspective of their own mastery of insurance-related knowledge and insurance product sales capabilities. The preset target personnel business assessment external information data includes but is not limited to preset target scenario adaptation information data and preset business resource tool utilization information data, so that the insurance agents can be assessed from the perspective of their adaptability to on-site sales of different insurance customers and the utilization of insurance product sales tools, so that the online front-line business assessment of insurance products is highly consistent with the preset insurance agents' own business level and the external insurance business environment, which can improve the practical skills of front-line personnel.

[0064] The embodiment of the present invention combines the self-information data of the preset business front-line target personnel for business assessment with external information data to conduct corresponding front-line business assessment on the preset business front-line target personnel, realizes combining the business level of the preset business front-line target personnel themselves with external business needs, and conducts front-line business online simulation assessment on the business front-line target personnel, so that the front-line business online simulation assessment is highly consistent with the business level of the preset business front-line target personnel themselves and the external business environment conditions, that is, realizes corresponding personalized targeted assessment according to the internal and external business conditions faced by the preset business front-line target personnel themselves, and comprehensively evaluates the actual communication ability and adaptability of the business front-line personnel, which can improve the effectiveness and assessment effect of the online simulation assessment of the business front-line personnel and can enhance the practical skills of the front-line personnel.

[0065] See Figure 2 , Figure 2 This is a schematic diagram of the first sub-flow of the online training and examination processing method for frontline business personnel based on a large language model provided by an embodiment of the present invention. Figure 2 As shown, in this embodiment, the target business training test text includes a target business training test scenario logic text, a target business training test knowledge content text, and a training test scenario-training test content mapping relationship between the target business training test scenario logic text and the target business training test knowledge content text; and conducting frontline business training test for the preset frontline target personnel based on the target business training test text includes:

[0066] S21. Based on the preset virtual reality technology, construct several sequence-based virtual training scenarios corresponding to the target business training scenario logic text;

[0067] S22. Mapping the virtual training test scenario with the target business training test knowledge content text according to the training test scenario-training test content mapping relationship to obtain a training test mapping association relationship;

[0068] S23: constructing frontline business training test digital media corresponding to the virtual training test scenario and the target business training test knowledge content text based on the association relationship between the virtual training test scenario, the target business training test knowledge content text, and the training test mapping, and based on a preset digital media construction method;

[0069] S24. Conducting frontline business training and examination for the preset frontline business target personnel based on the frontline business training and examination digital media.

[0070] Explanatoryally, pre-setting virtual reality technology, that is, preset virtual reality technology, virtual reality (Virtual Reality, referred to as VR) is a three-dimensional virtual environment simulated and generated by computer technology, which enables users to obtain an immersive sensory experience. The implementation of preset virtual reality technology can draw on existing technical means, which will not be elaborated here.

[0071] The pre-set digital media construction method is called the preset digital media construction method. The preset digital media construction method indicates the method of constructing the digital media corresponding to the target business training text. Digital media covers a variety of content types presented in digital form, including but not limited to animation, video, audio, and virtual reality. According to the specific type of digital media corresponding to the target business training text, the corresponding type of digital media construction method is selected. For example, if the virtual reality type digital media corresponding to the target business training text is constructed, the corresponding virtual reality digital media construction method is selected.

[0072] According to the above conception and setting, when the target business training test text includes the target business training test scenario logic text, the target business training test knowledge content text and the training test scenario-training test content mapping relationship between the target business training test scenario logic text and the target business training test knowledge content text, it can be understood that the target business training test text is a "script" on the computer device side. Based on the preset virtual reality technology, a number of sequence-based virtual training test scenarios corresponding to the target business training test scenario logic text are constructed. The virtual training test scenario represents a corresponding scenario for virtual online training or online assessment of front-line business based on the preset virtual reality technology. Then, according to the training test scenario-training test content mapping relationship, the virtual training test scenario is connected to the target business training test scenario logic text. The target business training test knowledge content text is mapped to obtain the training test mapping association relationship; then, according to the virtual training test scenario, the target business training test knowledge content text and the training test mapping association relationship, and based on the preset digital media construction method, the front-line business training test digital media corresponding to the virtual training test scenario and the target business training test knowledge content text is constructed. The front-line business training test digital media represents the digital media corresponding to the online training or online assessment of the front-line business. The front-line business training test digital media can be multimedia content of types corresponding to but not limited to animation, video, audio, and virtual reality. Then, based on the front-line business training test digital media, online training or online assessment of the preset business front-line target personnel is carried out.

[0073] The embodiment of the present invention automatically generates the target business training scenario logic text and the target business training knowledge content text and the scenario-content mapping relationship between them based on a large language model, and then constructs the corresponding front-line business training digital media based on virtual reality technology, and conducts front-line business training for preset business front-line target personnel. With the powerful language understanding and generation capabilities of the large language model and with the help of virtual reality technology, it is possible to achieve intuitive, vivid and realistic training scenario simulation for online front-line business training, thereby achieving corresponding personalized targeted training based on the business conditions faced by the preset business front-line target personnel corresponding to the target personnel business training information data through technical means, which can improve the effectiveness and training effect of online training for business front-line personnel.

[0074] In one embodiment, a preset frontline business training and examination prompt word template is determined, and the target personnel business training and examination portrait is embedded in the preset frontline business training and examination prompt word template to obtain the target business training and examination prompt word, including:

[0075] Determine the preset front-line business training test prompt word template, and determine the preset front-line business training test required logic main line and the preset front-line business training test optional logic sub-line, and the mapping relationship between the main and sub-logic lines;

[0076] The target personnel business training test portrait, the preset front-line business training test required logic main line, the preset front-line business training test optional logic sub-line and the main and sub-logic line mapping association relationship are embedded in the preset front-line business training test prompt word template to obtain the target business training test prompt word.

[0077] Explanatory speaking, the mandatory logical main line of front-line business training and examination is pre-set, that is, the mandatory logical main line of front-line business training and examination is preset. The pre-set mandatory logical main line of front-line business training and examination represents a logical chain composed of several training and examination contents that must be trained or assessed for front-line business online training or online assessment, that is, several training or assessment contents are connected in a certain order. Similarly, the preset front-line business training and examination optional logic sub-line represents a logical chain composed of several training and examination contents that can be selected for online training or online assessment of front-line business. The preset front-line business training and examination optional logic sub-line can also be called the corresponding sub-line or branch line. The preset front-line business training and examination optional logic sub-line represents the contingency strategy based on the preset front-line business training and examination mandatory logic main line. The main and sub-logic line mapping association relationship represents the mapping association relationship between the mandatory items of the preset front-line business training and examination mandatory logic main line and the optional items of the preset front-line business training and examination optional logic sub-line, that is, which mandatory items are associated with which optional items. Among them, the preset front-line business training and examination mandatory logic main line and the preset front-line business training and examination optional logic sub-line are generally set up by relevant personnel according to the specific content of the front-line business.

[0078] According to the above ideas and settings, the preset front-line business training examination prompt word template is determined, and the preset front-line business training examination mandatory logic main line and the preset front-line business training examination optional logic sub-line and the main and sub-logic line mapping association relationship between them are determined; then the target personnel business training examination portrait, the preset front-line business training examination mandatory logic main line, the preset front-line business training examination optional logic sub-line and the main and sub-logic line mapping association relationship are embedded in the preset front-line business training examination prompt word template to obtain the target business training examination prompt word, and then automatically generate the target business training examination text containing the preset front-line business training examination mandatory logic main line and the preset front-line business training examination optional logic sub-line, which can realize the coordinated operation of the main and sub-dual training examination strategies corresponding to the preset front-line business training examination mandatory logic main line and the preset front-line business training examination optional logic sub-line.

[0079] In an embodiment of the present invention, by mapping the mandatory main logic line, the optional secondary logic lines, and the mapping relationship between them as the content of the target business training prompt, a target business training text corresponding to the preset target frontline personnel is generated based on a large-scale language model. Leveraging the powerful language understanding and generation capabilities of the large-scale language model, the target business training text containing the mandatory main logic line and the optional secondary logic lines is automatically generated. This allows for the coordinated operation of the dual training strategies based on the mandatory main logic line and the optional secondary logic lines. This ensures that essential key content is not missed while enabling flexible and adaptable training based on needs, achieving personalized training under a unified training logic. This allows for "unlimited possibilities and adaptability within a training framework," enabling personalized, targeted, and flexible training tailored to the virtual on-site training situations faced by the target frontline personnel, thereby improving the effectiveness and training outcomes of online training for frontline personnel.

[0080] See Figure 3 , Figure 3 This is a schematic diagram of the second sub-flow of the online training and examination processing method for frontline business personnel based on a large language model provided by an embodiment of the present invention. Figure 3 As shown, in this embodiment, based on the front-line business training and examination digital media, the front-line business training and examination is conducted on the preset front-line business target personnel, including:

[0081] S31, determining the front-line business training digital media corresponding to the preset required main logic line of the front-line business training and the preset optional secondary logic line of the front-line business training, and obtaining the main and secondary logic line front-line business training digital media;

[0082] S32: Based on the preset training digital media playback mode, the primary and secondary logic line frontline business training digital media are played to the preset business frontline target personnel, and interactive frontline business training is conducted with the preset business frontline target personnel;

[0083] S33, receiving training and examination interactive feedback information of the preset front-line business target personnel on the main logic line front-line business training and examination digital media corresponding to the preset front-line business training and examination required logic main line;

[0084] S34, judging whether to enable the corresponding secondary logical line front-line business training digital media corresponding to the preset optional secondary logical line of the front-line business training according to the training interaction feedback information;

[0085] S35. If the above determination is yes, activate the corresponding secondary logic line frontline business training and examination digital media to conduct frontline business training and examination for the preset frontline business target personnel;

[0086] S36. If the above judgment is no, continue to play the main logic line front-line business training digital media corresponding to the preset front-line business training required main logic line to the preset front-line business target personnel, and conduct interactive front-line business training with the preset front-line business target personnel.

[0087] Explanatoryally, based on the front-line business training digital media, when conducting front-line business training for preset business front-line target personnel, the front-line business training digital media corresponding to the preset front-line business training mandatory main logic line and the preset front-line business training optional sub-logic line are determined to obtain the main and sub-logic line front-line business training digital media. The main and sub-logic line front-line business training digital media represent the digital media for conducting front-line business online training or assessment that includes the preset front-line business training mandatory main logic line and the preset front-line business training optional sub-logic line. As mentioned above, the corresponding front-line business training digital media is generally constructed based on the above-mentioned target business training text and based on the preset digital media construction method.

[0088] Then, based on the preset training digital media playback method, for example, through a player or a web page, the main and sub-logic line front-line business training digital media are played to the preset business front-line target personnel, and interactive front-line business training is conducted with the preset business front-line target personnel. For example, when conducting corresponding online training or assessment of front-line business through virtual reality technology, the preset business front-line target personnel are required to interact interactively with the virtual reality, and then receive the preset business front-line target personnel's training interactive feedback information on the main logic line front-line business training digital media corresponding to the preset front-line business training required main logic line.

[0089] According to the training and examination interactive feedback information, it is determined whether to enable the corresponding sub-logic line front-line business training and examination digital media corresponding to the preset front-line business training and examination optional logic sub-line, for example, whether the training and examination interactive feedback information of the preset business front-line target personnel on the main logic line front-line business training and examination digital media corresponding to the preset front-line business training and examination mandatory logic main line contains relevant information corresponding to the preset front-line business training and examination optional logic sub-line; if the above judgment is yes, enable the corresponding sub-logic line front-line business training and examination digital media, and after the sub-logic line front-line business training and examination digital media is played, continue to switch back to the playback of the main logic line front-line business training and examination digital media corresponding to the preset front-line business training and examination mandatory logic main line, so as to continuously play the main logic line front-line business training and examination digital media corresponding to the preset front-line business training and examination mandatory logic main line. The digital media is played to the preset business front-line target personnel, and the preset business front-line target personnel are subjected to front-line business training and examination; if the above judgment is no, the main logic line front-line business training and examination digital media corresponding to the preset front-line business training and examination mandatory main logic line is continuously played to the preset business front-line target personnel, and interactive front-line business training and examination are conducted with the preset business front-line target personnel, thereby realizing comprehensive online training and online assessment of the preset business front-line target personnel through simulation of real front-line business scenarios and interactive training and examination. In particular, when conducting online assessment of the preset business front-line target personnel, personalized immersive online assessment of the preset business front-line target personnel can be realized to comprehensively evaluate the actual on-the-spot sales ability and on-the-spot adaptability of the preset business front-line target personnel, which can improve the practical skills of the front-line personnel.

[0090] The embodiment of the present invention realizes comprehensive training and examination of preset business front-line target personnel through the coordinated operation of the main and secondary dual training and examination strategies corresponding to the preset front-line business training and examination mandatory main logic line and the preset front-line business training and examination optional secondary logic line, and through simulating real training and examination scenarios and interactive training and examination, and can comprehensively evaluate the actual business capabilities and on-the-spot adaptability of the preset business front-line target personnel when conducting online assessments of the preset business front-line target personnel, and realize adaptive personalized, targeted, and flexible interactive training and examination based on the virtual on-site training and examination conditions faced by the preset business front-line target personnel themselves, which can improve the effectiveness and training effect of online training and examination of business front-line personnel.

[0091] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0092] In one embodiment, a large-scale language model-based online training and examination processing device for frontline personnel is provided. The large-scale language model-based online training and examination processing device for frontline personnel corresponds to the large-scale language model-based online training and examination processing method for frontline personnel in the above embodiment. Figure 4 , Figure 4 This is a schematic block diagram of an online training and examination processing device for frontline business personnel based on a large language model according to an embodiment of the present invention. Figure 4 As shown, the online training and examination processing device 40 for frontline business personnel based on a large language model includes a first determination module 41, a first construction module 42, a first portrait module 43, a first embedding module 44, a first generation module 45, and a first training and examination module 46. The above functional modules are described in detail as follows:

[0093] A first determination module 41 is configured to determine target personnel business training and examination information data corresponding to a preset business frontline target personnel; a first construction module 42 is configured to construct a business training and examination information feature matrix corresponding to the preset business frontline target personnel based on the target personnel business training and examination information data and a preset training and examination information feature matrix construction method; a first portrait module 43 is configured to construct a target personnel business training and examination portrait corresponding to the preset business frontline target personnel based on the business training and examination information feature matrix and a preset user portrait construction method; a first embedding module 44 is configured to determine a preset frontline business training and examination prompt word template and embed the target personnel business training and examination portrait into the preset frontline business training and examination prompt word template to obtain a target business training and examination prompt word; a first generation module 45 is configured to generate a large language model based on the target business training and examination prompt word and a preset business training and examination text to generate a target business training and examination text corresponding to the preset business frontline target personnel; and a first training and examination module 46 is configured to conduct a frontline business training and examination on the preset business frontline target personnel based on the target business training and examination text.

[0094] In one embodiment, the target personnel business training and examination information data includes the preset target personnel business training self-information data and the preset target personnel business training external information data; the first construction module 42 includes: a first feature extraction submodule, which is used to extract information features of the preset target personnel business training self-information data based on a preset information feature extraction method to obtain the business training self-information features, and to extract information features of the preset target personnel business training external information data to obtain the business training external information features; a first composition submodule, which is used to combine the business training self-information features and the business training external information features into a feature matrix to obtain the business training information feature matrix corresponding to the preset business front-line target personnel.

[0095] In one embodiment, the preset target personnel business training personal information data includes at least one of the following: preset personal professional background information data, preset personal personality and psychological information data; the preset target personnel business training external information data includes at least one of the following: preset front-line business product information data, preset target area market information data; the first feature extraction submodule includes:

[0096] The second feature extraction submodule is used to extract information features from the preset personal occupational background information data based on a preset information feature extraction method, and obtain personal occupational background information features corresponding to the business training's own information features; the third feature extraction submodule is used to extract information features from the preset own personality and psychological information data, and obtain personality and psychological information features corresponding to the business training's own information features; the fourth feature extraction submodule is used to extract information features from the preset front-line business product information data, and obtain front-line business product information features corresponding to the business training's external information features; the fifth feature extraction submodule is used to extract information features from the preset target area market information data, and obtain regional market information features corresponding to the business training's external information features.

[0097] In one embodiment, the target personnel business training and examination information data includes the preset target personnel business assessment self-information data and the preset target personnel business assessment external information data; the first construction module 42 includes: a sixth feature extraction submodule, which is used to extract information features from the preset target personnel business assessment self-information data based on a preset information feature extraction method to obtain the business assessment self-information features, and to extract information features from the preset target personnel business assessment external information data to obtain the business assessment external information features; a second composition submodule, which is used to form a feature matrix from the business assessment self-information features and the business assessment external information features to obtain the business assessment information feature matrix corresponding to the preset business front-line target personnel.

[0098] In one embodiment, the target business training test text includes a target business training test scenario logic text, a target business training test knowledge content text, and a training test scenario-training test content mapping relationship between the target business training test scenario logic text and the target business training test knowledge content text. The first training test module 46 includes: a first construction submodule for constructing a plurality of sequence-based virtual training test scenarios corresponding to the target business training test scenario logic text based on a preset virtual reality technology; a first mapping submodule for mapping the virtual training test scenarios with the target business training test knowledge content text based on the training test scenario-training test content mapping relationship to obtain a training test mapping relationship; a first construction submodule for constructing frontline business training test digital media corresponding to the virtual training test scenarios and the target business training test knowledge content text based on the virtual training test scenario, the target business training test knowledge content text, and the training test mapping relationship and based on a preset digital media construction method; and a first training test submodule for conducting frontline business training test on the preset business frontline target personnel based on the frontline business training test digital media.

[0099] In one embodiment, the first embedding module 44 includes: a first determining submodule, used to determine a preset front-line business training test prompt word template, and determine the preset front-line business training test required logic main line and the preset front-line business training test optional logic sub-line, and the main-sub-logic line mapping association relationship therebetween; a first embedding submodule, used to embed the target personnel business training test portrait, the preset front-line business training test required logic main line, the preset front-line business training test optional logic sub-line, and the main-sub-logic line mapping association relationship into the preset front-line business training test prompt word template to obtain the target business training test prompt word.

[0100] In one embodiment, the first training submodule includes: a second determining submodule for determining the front-line business training digital media corresponding to the preset front-line business training required main logic line and the preset front-line business training optional secondary logic line, and obtaining the main and secondary logic line front-line business training digital media; a first playing submodule for playing the main and secondary logic line front-line business training digital media to the preset front-line business target personnel based on the preset training digital media playing mode, and conducting interactive front-line business training with the preset front-line business target personnel; a receiving submodule for receiving the front-line business training digital media corresponding to the preset front-line business training required main logic line from the preset front-line business target personnel. The first judgment submodule is used to judge whether to enable the corresponding sub-logic line front-line business training digital media corresponding to the preset front-line business training optional logic sub-line according to the training interactive feedback information; the enabling submodule is used to enable the corresponding sub-logic line front-line business training digital media if the above judgment is yes, and conduct front-line business training for the preset business front-line target personnel; the second playing submodule is used to continuously play the main logic line front-line business training digital media corresponding to the preset front-line business training mandatory logic main line to the preset business front-line target personnel if the above judgment is no, and conduct interactive front-line business training with the preset business front-line target personnel.

[0101] The specific limitations of the large-scale language model-based online training and examination processing device for frontline personnel can be found in the aforementioned limitations of the large-scale language model-based online training and examination processing method for frontline personnel, and will not be repeated here. The various modules in the large-scale language model-based online training and examination processing device for frontline personnel can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the aforementioned modules can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each of the aforementioned modules.

[0102] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 5As shown. The computer device includes a processor, a memory, a network interface and a database connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile and / or volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external client via a network connection. When the computer program is executed by the processor, it implements the functions or steps on the service side of a method for processing online training and examinations for frontline business personnel based on a large language model.

[0103] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the functions or steps of the online training and examination processing method for frontline business personnel based on a large language model described in the above embodiment are implemented.

[0104] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the functions or steps of the online training and examination processing method for frontline business personnel based on a large language model described in the above embodiment are implemented.

[0105] It should be noted that the above functions or steps that can be implemented by the computer-readable storage medium or computer device can be found in the relevant descriptions of the server side and the client side in the aforementioned method embodiment. To avoid repetition, they will not be described one by one here.

[0106] Those skilled in the art will appreciate that all or part of the processes in the above-described embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the above-described embodiments. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAM bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0107] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0108] The software tools or components not produced by our company that appear in the embodiments of the present invention are for illustrative purposes only and do not represent actual use.

[0109] The relevant data collection appearing in the embodiments of the present invention complies with the requirements of relevant laws and regulations, such as China's "Personal Information Protection Law", GDPR (EU General Data Protection Regulation) or information security standards of other countries and regions.

[0110] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A method for processing online training and examination for frontline business personnel based on a large language model, characterized in that: include: Determine the target personnel business training and examination information data corresponding to the preset target personnel on the front line of business; According to the target personnel's business training and examination information data, and based on a preset training and examination information feature matrix construction method, construct a business training and examination information feature matrix corresponding to the preset business front-line target personnel; According to the business training and examination information feature matrix and based on a preset user portrait construction method, a business training and examination profile of the target personnel corresponding to the preset business front-line target personnel is constructed; Determine a preset frontline business training and examination prompt word template, and embed the target personnel business training and examination portrait into the preset frontline business training and examination prompt word template to obtain the target business training and examination prompt word; According to the target business training test prompt words and based on the preset business training test text, a large language model is generated to generate the target business training test text corresponding to the preset business front-line target personnel; Conduct front-line business training and examination for the preset front-line target personnel according to the target business training and examination text.

2. The online training and examination processing method for frontline business personnel based on a large language model according to claim 1, characterized in that: The target personnel business training and examination information data includes preset target personnel business training internal information data and preset target personnel business training external information data; based on the target personnel business training and examination information data and based on the preset training and examination information feature matrix construction method, a business training and examination information feature matrix corresponding to the preset business front-line target personnel is constructed, including: Based on a preset information feature extraction method, information features are extracted from the business training self-information data of the preset target personnel to obtain the business training self-information features, and information features are extracted from the business training external information data of the preset target personnel to obtain the business training external information features; The business training information features themselves and the business training external information features are combined into a feature matrix to obtain the business training information feature matrix corresponding to the preset business front-line target personnel.

3. The online training and examination processing method for frontline business personnel based on a large language model according to claim 2, characterized in that: The preset target personnel business training self-information data includes at least one of the following: preset personal professional background information data, preset personal personality and psychological information data; the preset target personnel business training external information data includes at least one of the following: preset front-line business product information data, preset target area market information data; Based on a preset information feature extraction method, information features are extracted from the business training self-information data of the preset target personnel to obtain business training self-information features, and information features are extracted from the business training external information data of the preset target personnel to obtain business training external information features, including: Based on a preset information feature extraction method, the preset personal occupational background information data is subjected to information feature extraction to obtain personal occupational background information features corresponding to the information features of the business training itself; Extracting information features from the preset self-personality and psychological information data to obtain personality and psychological information features corresponding to the business training self-information features; Extracting information features from the preset front-line business product information data to obtain front-line business product information features corresponding to the business training external information features; The preset target regional market information data is subjected to information feature extraction to obtain regional market information features corresponding to the business training external information features.

4. The online training and examination processing method for frontline business personnel based on a large language model according to claim 1, characterized in that: The target personnel business training and examination information data includes preset target personnel business assessment internal information data and preset target personnel business assessment external information data; based on the target personnel business training and examination information data and based on the preset training and examination information feature matrix construction method, a business training and examination information feature matrix corresponding to the preset business front-line target personnel is constructed, including: Based on a preset information feature extraction method, extract information features from the preset target personnel's business assessment information data to obtain the business assessment's own information features, and extract information features from the preset target personnel's business assessment external information data to obtain the business assessment external information features; The business assessment information characteristics themselves and the business assessment external information characteristics are combined into a feature matrix to obtain the business assessment information feature matrix corresponding to the preset business front-line target personnel.

5. The online training and examination processing method for frontline business personnel based on a large language model according to any one of claims 1 to 4, characterized in that: The target business training test text includes a target business training test scenario logic text, a target business training test knowledge content text, and a training test scenario-training test content mapping relationship between the target business training test scenario logic text and the target business training test knowledge content text; Conducting frontline business training and examination for the preset frontline target personnel according to the target business training and examination text, including: Based on the preset virtual reality technology, build several sequence-based virtual training scenarios corresponding to the target business training scenario logic text; According to the training test scenario-training test content mapping relationship, the virtual training test scenario is mapped with the target business training test knowledge content text to obtain a training test mapping association relationship; According to the virtual training test scenario, the target business training test knowledge content text and the training test mapping association relationship, and based on a preset digital media construction method, constructing the front-line business training test digital media corresponding to the virtual training test scenario and the target business training test knowledge content text; Based on the front-line business training and examination digital media, front-line business training and examination are conducted for the preset front-line business target personnel.

6. The online training and examination processing method for frontline business personnel based on a large language model according to claim 5, characterized in that: Determining a preset front-line business training and examination prompt word template, and embedding the target personnel business training and examination portrait into the preset front-line business training and examination prompt word template to obtain the target business training and examination prompt word, including: Determine the preset front-line business training test prompt word template, and determine the preset front-line business training test required logic main line and the preset front-line business training test optional logic sub-line, and the mapping relationship between the main and sub-logic lines; The target personnel business training test portrait, the preset front-line business training test required logic main line, the preset front-line business training test optional logic sub-line and the main and sub-logic line mapping association relationship are embedded in the preset front-line business training test prompt word template to obtain the target business training test prompt word.

7. The online training and examination processing method for frontline business personnel based on a large language model according to claim 6, characterized in that: Conducting frontline business training and examination for the preset frontline target personnel based on the frontline business training and examination digital media, including: Determine the front-line business training digital media corresponding to the preset front-line business training required logic main line and the preset front-line business training optional logic sub-line, and obtain the main and sub-logic line front-line business training digital media; Based on the preset training digital media playing mode, the primary and secondary logic line frontline business training digital media are played to the preset business frontline target personnel, and interactive frontline business training is conducted with the preset business frontline target personnel; Receiving training and examination interactive feedback information of the preset front-line business target personnel on the main logic line front-line business training and examination digital media corresponding to the preset front-line business training and examination required main logic line; According to the training and examination interactive feedback information, determining whether to enable the corresponding secondary logic line front-line business training and examination digital media corresponding to the preset front-line business training and examination optional secondary logic line; If the above judgment is yes, the corresponding secondary logic line frontline business training and examination digital media is activated to conduct frontline business training and examination for the preset business frontline target personnel; If the above judgment is no, continue to play the main logic line front-line business training digital media corresponding to the preset front-line business training required logic main line to the preset business front-line target personnel, and conduct interactive front-line business training with the preset business front-line target personnel.

8. An online training and examination processing device for frontline business personnel based on a large language model, characterized in that: include: The first determination module is used to determine the target personnel business training and examination information data corresponding to the preset business front-line target personnel; A first construction module is configured to construct a business training and examination information feature matrix corresponding to the preset business front-line target personnel based on the business training and examination information data of the target personnel and a preset training and examination information feature matrix construction method; The first portrait module is used to construct a target personnel business training and examination portrait corresponding to the preset business front-line target personnel based on the business training and examination information feature matrix and a preset user portrait construction method; The first embedding module is configured to determine a preset front-line business training and examination prompt word template, and embed the target personnel business training and examination portrait into the preset front-line business training and examination prompt word template to obtain the target business training and examination prompt word; A first generating module is configured to generate a large language model based on the target business training test prompt words and the preset business training test text, and generate the target business training test text corresponding to the preset business front-line target personnel; The first training and examination module is used to conduct front-line business training and examination for the preset front-line target personnel according to the target business training and examination text.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method for processing online training and examination for frontline business personnel based on a large language model are implemented as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for processing online training and examination for frontline business personnel based on a large language model are implemented as described in any one of claims 1 to 7.

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