Insurance marketing agent creation method and device, equipment and storage medium

Abstract

The invention discloses an insurance marketing agent creation method and device, equipment and a storage medium, and relates to the technical field of model creation, and the method comprises the steps: carrying out the model fine tuning of a preset multi-modal large model based on a preset insurance marketing data set, so as to obtain a target multi-modal large model; creating a marketing robot according to the types of different insurance marketing workflows; and forming a target insurance marketing intelligent agent comprising an integrated target marketing robot combination and a target multi-modal large model according to the sequence of each insurance marketing work flow in a preset insurance marketing work chain, and thus, each insurance marketing work flow required in the target insurance marketing scene can be automatically completed in a processized manner based on the target insurance marketing agent. Wherein the preset insurance marketing work chain is a work chain obtained by sequentially arranging each insurance marketing work flow required in the target insurance marketing scene in advance. In this way, automatic and intelligent marketing strategy making and execution can be achieved.

Description

Technical Field

[0001] The present invention relates to the field of model creation technology, and in particular to a method, device, equipment and storage medium for creating an insurance marketing intelligent entity. Background Art

[0002] Traditional insurance marketing models often rely on manual planning and execution. In the context of the current digital transformation, this method is not only inefficient, but also difficult to adapt to the rapidly changing market environment and consumer needs. Therefore, how to improve the efficiency of insurance marketing needs to be solved. Summary of the invention

[0003] In view of this, the purpose of the present invention is to provide a method, device, equipment and storage medium for creating an insurance marketing agent, which can realize automated and intelligent marketing strategy formulation and execution. The specific scheme is as follows:

[0004] In a first aspect, the present application discloses a method for creating an insurance marketing agent, comprising:

[0005] Based on the preset insurance marketing data set, fine-tune the preset multimodal big model to obtain the target multimodal big model;

[0006] Creating corresponding types of marketing robots according to different types of insurance marketing workflows to obtain several types of marketing robots; different types of marketing robots complete corresponding types of insurance marketing workflows by utilizing the target multimodal macro model;

[0007] According to the sequence of each insurance marketing work process in the preset insurance marketing work chain, the marketing robots of corresponding types are integrated in sequence to form a target insurance marketing agent including an integrated target marketing robot combination and the target multimodal large model, so as to automatically complete each insurance marketing work process required in the target insurance marketing scenario in a process-based manner based on the target insurance marketing agent; wherein the preset insurance marketing work chain is a work chain obtained by pre-arranging each insurance marketing work process required in the target insurance marketing scenario in sequence.

[0008] Optionally, fine-tuning a preset multimodal big model based on a preset insurance marketing data set to obtain a target multimodal big model includes:

[0009] Obtain insurance marketing information related to insurance company information, insurance terms information, and insurance product information to construct a preset insurance marketing data set;

[0010] The preset insurance marketing data set is used to fine-tune the preset multimodal big model to obtain a fine-tuned big model, and the fine-tuned big model is merged with the corresponding base model to obtain a target multimodal big model.

[0011] Optionally, the creating of corresponding types of marketing robots according to different types of insurance marketing workflows to obtain several types of marketing robots; the marketing robots of different types complete corresponding types of insurance marketing workflows by utilizing the target multimodal macro model, including:

[0012] Corresponding types of marketing robots are created according to the types of different insurance marketing workflows; the marketing robots include: marketing event robots, marketing scriptwriting robots, marketing copywriting robots, marketing material robots, marketing review robots, marketing release robots and marketing effect robots; the marketing robots complete corresponding types of insurance marketing workflows by utilizing the target multimodal big model.

[0013] Optionally, the process of automatically completing each of the insurance marketing workflows required in the target insurance marketing scenario based on the target insurance marketing agent includes:

[0014] Obtaining corresponding predefined marketing events through the marketing event robot in the target insurance marketing agent, and sending the marketing events to the target multimodal macro model;

[0015] The target multimodal big model is used to refine the marketing events to obtain marketing analysis data.

[0016] Optionally, the process of automatically completing each of the insurance marketing workflows required in the target insurance marketing scenario based on the target insurance marketing agent includes:

[0017] Acquiring the marketing analysis data sent by the marketing event robot through the marketing scriptwriting robot in the target insurance marketing agent, and analyzing the marketing analysis data using the target multimodal big model to obtain a target marketing plan;

[0018] Utilize the marketing copywriting robot in the target insurance marketing agent to obtain the target marketing plan and the marketing analysis data, and control the target multimodal big model to generate corresponding marketing copywriting for the target marketing plan and the marketing analysis data;

[0019] Acquire the marketing copy through the marketing material robot in the target insurance marketing agent, and generate marketing materials corresponding to the marketing copy using the target multimodal macro model;

[0020] The final marketing copy sent by the marketing screenwriter robot is obtained through the marketing review robot in the target insurance marketing intelligent body, and the final marketing copy is reviewed to obtain a corresponding copy review report; the final marketing copy is the copy obtained after the marketing screenwriter robot integrates and polishes the marketing copy and the marketing materials.

[0021] Optionally, the process of automatically completing each of the insurance marketing workflows required in the target insurance marketing scenario based on the target insurance marketing agent includes:

[0022] The final marketing copy is published to each preset user terminal according to the target marketing plan through the marketing publishing robot in the target insurance marketing agent.

[0023] Optionally, the process of automatically completing each of the insurance marketing workflows required in the target insurance marketing scenario based on the target insurance marketing agent includes:

[0024] The marketing effect robot collects access data generated by each of the preset user terminals for the final marketing copy, and uses the target multimodal large model to analyze the access data to obtain corresponding marketing feedback results.

[0025] In a second aspect, the present application discloses an insurance marketing agent creation device, comprising:

[0026] A model generation module, used for fine-tuning a preset multimodal big model based on a preset insurance marketing data set to obtain a target multimodal big model;

[0027] A marketing robot creation module is used to create corresponding types of marketing robots according to different types of insurance marketing workflows to obtain several types of marketing robots; different types of marketing robots complete corresponding types of insurance marketing workflows by using the target multimodal macro model;

[0028] An insurance marketing agent construction module is used to integrate the corresponding types of marketing robots in sequence according to the sequence of the insurance marketing work processes in the preset insurance marketing work chain, so as to form a target insurance marketing agent including an integrated target marketing robot combination and the target multimodal large model, so as to automatically complete the insurance marketing work processes required in the target insurance marketing scenario in a process-based manner based on the target insurance marketing agent; wherein the preset insurance marketing work chain is a work chain obtained by pre-arranging the insurance marketing work processes required in the target insurance marketing scenario in sequence.

[0029] In a third aspect, the present application discloses an electronic device, comprising:

[0030] Memory, used to store computer programs;

[0031] A processor is used to execute the computer program to implement the aforementioned insurance marketing intelligent agent creation method.

[0032] In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program, which, when executed by a processor, implements the aforementioned insurance marketing intelligent entity creation method.

[0033] It can be seen that in this application, the preset multimodal big model is fine-tuned based on the preset insurance marketing data set to obtain the target multimodal big model; the corresponding types of marketing robots are created according to the types of different insurance marketing workflows to obtain several types of marketing robots; the marketing robots of different types complete the corresponding types of insurance marketing workflows by using the target multimodal big model; according to the sequence of each insurance marketing workflow in the preset insurance marketing work chain, the marketing robots of the corresponding types are sequentially integrated to form a target insurance marketing intelligent body including the integrated target marketing robot combination and the target multimodal big model, so as to automatically complete the insurance marketing workflows required in the target insurance marketing scenario based on the target insurance marketing intelligent body in a process-based manner; wherein the preset insurance marketing work chain is a work chain obtained by sequentially arranging the insurance marketing workflows required in the target insurance marketing scenario in advance. In this way, by constructing an insurance marketing intelligent body based on a multimodal big model, the formulation and execution of marketing strategies can be automated and intelligent, so as to improve the pertinence and effectiveness of marketing activities and reduce operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0035] Figure 1 A flow chart of a method for creating an insurance marketing agent disclosed in this application;

[0036] Figure 2 A schematic diagram of a specific insurance marketing intelligent agent architecture disclosed in this application;

[0037] Figure 3 A flowchart of a specific method for using an insurance marketing agent disclosed in this application;

[0038] Figure 4A schematic diagram of the structure of an insurance marketing intelligent entity creation device disclosed in this application;

[0039] Figure 5 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0041] Traditional insurance marketing models often rely on manual planning and execution, which is not only inefficient but also difficult to adapt to the rapidly changing market environment and consumer needs. This application will specifically introduce a method for creating an insurance marketing agent, through which the creation of an insurance marketing agent can realize automated and intelligent marketing strategy formulation.

[0042] See also Figure 1 As shown, the embodiment of the present application discloses a method for creating an insurance marketing agent, including:

[0043] Step S11: fine-tune the preset multimodal big model based on the preset insurance marketing data set to obtain the target multimodal big model.

[0044] In this embodiment, it is necessary to collect certain insurance marketing data to create a corresponding target multimodal big model. Therefore, the method of fine-tuning the preset multimodal big model based on the preset insurance marketing data set to obtain the target multimodal big model includes: obtaining insurance marketing information related to insurance company information, insurance clause information and insurance product information to construct a preset insurance marketing data set; fine-tuning the preset multimodal big model using the preset insurance marketing data set to obtain a fine-tuned big model, and merging the fine-tuned big model with the corresponding base model to obtain the target multimodal big model. Specifically, the insurance marketing information related to insurance company information, insurance clause information and insurance product information is obtained by a preset data crawling method, and then the corresponding preset insurance marketing data set is constructed according to the above information. Then, the preset insurance marketing data set is used to fine-tune the adjustable part of the preset multimodal big model to obtain a fine-tuned big model, and then the fine-tuned big model is merged with the corresponding base model to obtain the target multimodal big model. In other words, based on the base multimodal big model, training the multimodal big model of insurance marketing mainly includes building a model training data set through information such as the basic information of the insurance company, insurance terms, insurance product plans, and marketing copy of the insurance products, and then using the model training data set to fine-tune the model. Finally, the fine-tuned model is merged with the base model to form a multimodal big model of insurance marketing.

[0045] Step S12: Create corresponding types of marketing robots according to the types of different insurance marketing workflows to obtain several types of marketing robots; different types of marketing robots complete corresponding types of insurance marketing workflows by utilizing the target multimodal large model.

[0046] In this embodiment, marketing robots of corresponding types are created according to the types of different insurance marketing workflows to obtain several types of marketing robots; the marketing robots of different types complete the insurance marketing workflows of corresponding types by using the target multimodal big model, including: creating marketing robots of corresponding types according to the types of different insurance marketing workflows; the marketing robots include: marketing event robots, marketing script robots, marketing copywriting robots, marketing material robots, marketing review robots, marketing release robots and marketing effect robots; the marketing robots complete the insurance marketing workflows of corresponding types by using the target multimodal big model. Multiple marketing function robots that can complete the insurance marketing workflows of corresponding types by using the target multimodal big model are constructed according to the types of different insurance marketing workflows.

[0047] Step S13: In accordance with the sequence of each insurance marketing work process in the preset insurance marketing work chain, the marketing robots of corresponding types are sequentially integrated to form a target insurance marketing agent including an integrated target marketing robot combination and the target multimodal large model, so as to automatically and process-based complete each insurance marketing work process required in the target insurance marketing scenario based on the target insurance marketing agent; wherein the preset insurance marketing work chain is a work chain obtained by sequentially arranging each insurance marketing work process required in the target insurance marketing scenario in advance.

[0048] In this embodiment, Figure 2 As shown, based on the large model intelligent agent framework, through prompt word engineering, enterprise private knowledge base, built marketing robots and other tools, the intelligent agent Prompt (prompt word) is pre-adjusted, including setting roles, overall marketing process, providing few-shots (only a very small number of labeled samples are used when training machine learning models), and setting restrictions, etc. Through the sequence of each insurance marketing workflow, the capabilities of the above marketing robots are integrated to form a process-based insurance marketing intelligent agent, realizing the full chain automation from marketing event identification, release, and effect evaluation.

[0049] In this embodiment, the specific marketing process includes: the marketing publishing robot in the target insurance marketing agent publishes the final marketing copy to each preset user terminal according to the target marketing plan. Then, the marketing effect robot collects the access data generated by each preset user terminal for the final marketing copy, and uses the target multimodal big model to analyze the access data to obtain the corresponding marketing feedback results. That is, after the corresponding marketing strategy is generated and manually reviewed, the target multimodal big model will call the ability of the marketing system to carry out targeted user circles according to the overall marketing plan of the marketing script robot, through function calls and other means, call the distribution interface service, and distribute the marketing events to various channels, such as publishing WeChat, SMS, websites, etc. Then, the marketing effect robot will collect the marketing effect through crawler technology, including the number of visits, duration, number of forwarding, number of comments, etc. of each channel. The big model analyzes the effect data according to the pre-adjusted prompt and forms a data set in the training format. After manual review, it is submitted to the model optimization training to form a data-driven feedback mechanism to provide a basis for subsequent optimization.

[0050] It can be seen that in this embodiment, the preset multimodal big model is fine-tuned based on the preset insurance marketing data set to obtain the target multimodal big model; the corresponding types of marketing robots are created according to the types of different insurance marketing workflows to obtain several types of marketing robots; the marketing robots of different types complete the corresponding types of insurance marketing workflows by using the target multimodal big model; according to the sequence of each insurance marketing workflow in the preset insurance marketing work chain, the marketing robots of the corresponding types are sequentially integrated to form a target insurance marketing agent including the integrated target marketing robot combination and the target multimodal big model, so as to automatically complete the insurance marketing workflows required in the target insurance marketing scenario based on the target insurance marketing agent in a process-based manner; wherein the preset insurance marketing work chain is a work chain obtained by sequentially arranging the insurance marketing workflows required in the target insurance marketing scenario in advance. In this way, by constructing an insurance marketing agent based on a multimodal big model, the formulation and execution of marketing strategies can be automated and intelligent, so as to improve the pertinence and effectiveness of marketing activities and reduce operating costs.

[0051] The above embodiment describes in detail the construction process of the insurance marketing intelligent body. This embodiment will introduce the use process of the insurance marketing intelligent body.

[0052] See also Figure 3 As shown, the embodiment of the present application discloses a specific method for using an insurance marketing agent, including:

[0053] Step S21: Obtain corresponding predefined marketing events through the marketing event robot in the target insurance marketing agent, and send the marketing events to the target multimodal big model, so as to use the target multimodal big model to refine the marketing events to obtain marketing analysis data.

[0054] In this embodiment, specifically, the marketing event robot crawls articles such as hot topics or emergencies, such as public opinion, climate change, etc., through predefined events (such as festivals, etc.) or through crawler technology at regular intervals. Then, the target multimodal large model automatically identifies and refines marketing events, including but not limited to event names, event types, event contents, event impacts, etc., based on pre-adjusted Prompt instructions, by understanding and analyzing content information such as article text and images, to provide a basis for subsequent marketing activities.

[0055] Step S22: The marketing scriptwriting robot in the target insurance marketing agent obtains the marketing analysis data sent by the marketing event robot, and uses the target multimodal big model to analyze the marketing analysis data to obtain a target marketing plan.

[0056] In this embodiment, the marketing scriptwriting robot can formulate a collated marketing plan based on complete marketing event information, the target multimodal large model based on the knowledge learned through pre-training, and the pre-adjusted Prompt instructions, including but not limited to marketing themes, user groups, marketing copywriting combined with product information, and the timing of marketing releases.

[0057] Step S23: Utilize the marketing copy robot in the target insurance marketing agent to obtain the target marketing plan and the marketing analysis data, and control the target multimodal big model to generate corresponding marketing copy for the target marketing plan and the marketing analysis data.

[0058] In this embodiment, the marketing copywriting robot can generate specific copywriting based on the copywriting ideas, and the target multimodal big model will generate the specific copywriting based on the preset Prompt instructions. During this period, the multimodal big model will generate the corresponding marketing copywriting based on the type and content of the event, combined with the historically similar copywriting styles and the preferences of the user groups. In this way, the creativity and attractiveness of the copywriting can be ensured.

[0059] Step S24: Acquire the marketing copy through the marketing material robot in the target insurance marketing agent, and use the target multimodal big model to generate marketing materials corresponding to the marketing copy.

[0060] In this embodiment, the marketing material robot generates a marketing slogan and a marketing picture description prompt according to the preset prompt instruction using the target multimodal big model. Next, the marketing material robot generates marketing pictures and other materials according to the prompt using the capabilities of the text-based big model. This enhances the visual impact and communication effect of the marketing content.

[0061] Step S25: Obtain the final marketing copy sent by the marketing screenwriter robot through the marketing review robot in the target insurance marketing agent, and review the final marketing copy to obtain a corresponding copy review report; the final marketing copy is the copy obtained after the marketing screenwriter robot integrates and polishes the marketing copy and the marketing materials.

[0062] In this embodiment, the marketing review robot integrates and polishes the content of the copywriting robot and the material robot through the Prompt command pre-adjusted by the target multimodal large model to form the final marketing copy. The copy is submitted to the marketing review robot. The multimodal large model understands the copy and pictures and other materials, and reviews the content according to the pre-adjusted review point Prompt command, generates a copy review report, which mainly includes information such as the copy introduction and the risk level of the identification, and pushes it for manual review.

[0063] It can be seen that in this embodiment, through the sequence of each insurance marketing workflow, the capabilities of major marketing robots are integrated to form a process-based insurance marketing intelligent entity, thereby realizing full-chain automation from marketing event identification, release, and effect evaluation; it can improve the pertinence and effectiveness of marketing activities while reducing operating costs.

[0064] refer to Figure 4 The embodiment of the present application also discloses a device for creating an insurance marketing agent, including:

[0065] A model generation module 11, configured to fine-tune a preset multimodal large model based on a preset insurance marketing data set to obtain a target multimodal large model;

[0066] The marketing robot creation module 12 is used to create corresponding types of marketing robots according to different types of insurance marketing workflows to obtain several types of marketing robots; the marketing robots of different types complete corresponding types of insurance marketing workflows by using the target multimodal macro model;

[0067] The insurance marketing agent construction module 13 is used to integrate the corresponding types of marketing robots in sequence according to the sequence of each insurance marketing work process in the preset insurance marketing work chain, so as to form a target insurance marketing agent including an integrated target marketing robot combination and the target multimodal large model, so as to automatically complete each insurance marketing work process required in the target insurance marketing scenario in a process-based manner based on the target insurance marketing agent; wherein the preset insurance marketing work chain is a work chain obtained by pre-arranging each insurance marketing work process required in the target insurance marketing scenario in sequence.

[0068] In this embodiment, by constructing an insurance marketing intelligent entity based on a multimodal large model, automated and intelligent marketing strategy formulation and execution are achieved to improve the targeting and effectiveness of marketing activities while reducing operating costs.

[0069] In some specific embodiments, the model generation module 11 may specifically include:

[0070] A data set construction unit, used to obtain insurance marketing information related to insurance company information, insurance terms information and insurance product information to construct a preset insurance marketing data set;

[0071] A model fine-tuning unit is used to use the preset insurance marketing data set to fine-tune the preset multimodal big model to obtain a fine-tuned big model, and merge the fine-tuned big model with the corresponding base model to obtain a target multimodal big model.

[0072] In some specific embodiments, the marketing robot creation module 12 can be specifically used to create corresponding types of marketing robots according to the types of different insurance marketing workflows; the marketing robots include: marketing event robots, marketing scriptwriting robots, marketing copywriting robots, marketing material robots, marketing review robots, marketing release robots and marketing effect robots; the marketing robots complete corresponding types of insurance marketing workflows by utilizing the target multimodal big model.

[0073] In some specific embodiments, the insurance marketing agent building module 13 may specifically include:

[0074] A marketing event sending unit, configured to obtain a corresponding predefined marketing event through the marketing event robot in the target insurance marketing agent, and send the marketing event to the target multimodal macro model;

[0075] An event extraction unit is used to extract the marketing events using the target multimodal macro model to obtain marketing analysis data.

[0076] In some specific embodiments, the insurance marketing agent building module 13 may specifically include:

[0077] A marketing planning unit, configured to obtain the marketing analysis data sent by the marketing event robot through the marketing scriptwriting robot in the target insurance marketing agent, and analyze the marketing analysis data using the target multimodal macro model to obtain a target marketing plan;

[0078] A marketing copy generating unit, configured to use the marketing copy robot in the target insurance marketing agent to obtain the target marketing plan and the marketing analysis data, and control the target multimodal macro model to generate corresponding marketing copy for the target marketing plan and the marketing analysis data;

[0079] A marketing material generating unit, configured to obtain the marketing copy through the marketing material robot in the target insurance marketing agent, and generate marketing materials corresponding to the marketing copy using the target multimodal macro model;

[0080] A marketing copy generating unit is used to obtain the final marketing copy sent by the marketing screenwriter robot through the marketing review robot in the target insurance marketing intelligent body, and to review the final marketing copy to obtain a corresponding copy review report; the final marketing copy is the copy obtained after the marketing screenwriter robot integrates and polishes the marketing copy and the marketing materials.

[0081] In some specific embodiments, the insurance marketing agent building module 13 may specifically include:

[0082] A copy publishing unit is used to publish the final marketing copy to each preset user terminal according to the target marketing plan through the marketing publishing robot in the target insurance marketing intelligent body.

[0083] In some specific embodiments, the insurance marketing agent building module 13 may specifically include:

[0084] A feedback result collection unit is used to collect the access data generated by each preset user terminal for the final marketing copy through the marketing effect robot, and use the target multimodal large model to analyze the access data to obtain corresponding marketing feedback results.

[0085] Furthermore, the present application also discloses an electronic device. Figure 5 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram cannot be regarded as any limitation on the scope of use of the present application.

[0086] Figure 5 The present invention provides a schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the insurance marketing agent creation method disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0087] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0088] In addition, the memory 22, as a carrier for storing resources, can be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon can include an operating system 221, a computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0089] The operating system 221 is used to manage and control the hardware devices and computer program 222 on the electronic device 20, which can be Windows Server, Netware, Unix, Linux, etc. In addition to the computer program that can be used to complete the insurance marketing agent creation method performed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 can further include computer programs that can be used to complete other specific tasks.

[0090] Furthermore, the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the aforementioned disclosed insurance marketing agent creation method is implemented. The specific steps of the method can be referred to the corresponding contents disclosed in the aforementioned embodiments, and will not be repeated here.

[0091] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0092] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0093] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0094] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0095] The technical solution provided by the present application is introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for general technicians in this field, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for creating an insurance marketing agent, characterized in that: include: Based on the preset insurance marketing data set, fine-tune the preset multimodal big model to obtain the target multimodal big model; Creating corresponding types of marketing robots according to different types of insurance marketing workflows to obtain several types of marketing robots; different types of marketing robots complete corresponding types of insurance marketing workflows by utilizing the target multimodal macro model; According to the sequence of each insurance marketing work process in the preset insurance marketing work chain, the marketing robots of corresponding types are integrated in sequence to form a target insurance marketing agent including an integrated target marketing robot combination and the target multimodal large model, so as to automatically complete each insurance marketing work process required in the target insurance marketing scenario in a process-based manner based on the target insurance marketing agent; wherein the preset insurance marketing work chain is a work chain obtained by pre-arranging each insurance marketing work process required in the target insurance marketing scenario in sequence.

2. The insurance marketing agent creation method according to claim 1, characterized in that: The method of fine-tuning a preset multimodal big model based on a preset insurance marketing data set to obtain a target multimodal big model includes: Obtain insurance marketing information related to insurance company information, insurance terms information, and insurance product information to construct a preset insurance marketing data set; The preset insurance marketing data set is used to fine-tune the preset multimodal big model to obtain a fine-tuned big model, and the fine-tuned big model is merged with the corresponding base model to obtain a target multimodal big model.

3. The insurance marketing agent creation method according to claim 1, characterized in that: The corresponding types of marketing robots are created according to the types of different insurance marketing workflows to obtain several types of marketing robots; Different types of marketing robots complete corresponding types of insurance marketing workflows by utilizing the target multimodal big model, including: Corresponding types of marketing robots are created according to the types of different insurance marketing workflows; the marketing robots include: marketing event robots, marketing scriptwriting robots, marketing copywriting robots, marketing material robots, marketing review robots, marketing release robots and marketing effect robots; the marketing robots complete corresponding types of insurance marketing workflows by utilizing the target multimodal big model.

4. The insurance marketing agent creation method according to claim 3, characterized in that: The process of automatically completing each of the insurance marketing workflows required in the target insurance marketing scenario based on the target insurance marketing agent includes: Obtaining corresponding predefined marketing events through the marketing event robot in the target insurance marketing agent, and sending the marketing events to the target multimodal macro model; The target multimodal big model is used to refine the marketing events to obtain marketing analysis data.

5. The insurance marketing agent creation method according to claim 4, characterized in that: The process of automatically completing each of the insurance marketing workflows required in the target insurance marketing scenario based on the target insurance marketing agent includes: Acquiring the marketing analysis data sent by the marketing event robot through the marketing scriptwriting robot in the target insurance marketing agent, and analyzing the marketing analysis data using the target multimodal big model to obtain a target marketing plan; Utilize the marketing copywriting robot in the target insurance marketing agent to obtain the target marketing plan and the marketing analysis data, and control the target multimodal big model to generate corresponding marketing copywriting for the target marketing plan and the marketing analysis data; Acquire the marketing copy through the marketing material robot in the target insurance marketing agent, and generate marketing materials corresponding to the marketing copy using the target multimodal macro model; The final marketing copy sent by the marketing screenwriter robot is obtained through the marketing review robot in the target insurance marketing intelligent body, and the final marketing copy is reviewed to obtain a corresponding copy review report; the final marketing copy is the copy obtained after the marketing screenwriter robot integrates and polishes the marketing copy and the marketing materials.

6. The method for creating an insurance marketing agent according to claim 5, characterized in that: The process of automatically completing each of the insurance marketing workflows required in the target insurance marketing scenario based on the target insurance marketing agent includes: The final marketing copy is published to each preset user terminal according to the target marketing plan through the marketing publishing robot in the target insurance marketing agent.

7. The method for creating an insurance marketing agent according to claim 6, characterized in that: The process of automatically completing each of the insurance marketing workflows required in the target insurance marketing scenario based on the target insurance marketing agent includes: The marketing effect robot collects access data generated by each of the preset user terminals for the final marketing copy, and uses the target multimodal large model to analyze the access data to obtain corresponding marketing feedback results.

8. An insurance marketing agent creation device, characterized in that: include: A model generation module, used for fine-tuning a preset multimodal big model based on a preset insurance marketing data set to obtain a target multimodal big model; A marketing robot creation module is used to create corresponding types of marketing robots according to different types of insurance marketing workflows to obtain several types of marketing robots; different types of marketing robots complete corresponding types of insurance marketing workflows by using the target multimodal macro model; An insurance marketing agent construction module is used to integrate the corresponding types of marketing robots in sequence according to the sequence of the insurance marketing work processes in the preset insurance marketing work chain, so as to form a target insurance marketing agent including an integrated target marketing robot combination and the target multimodal large model, so as to automatically complete the insurance marketing work processes required in the target insurance marketing scenario in a process-based manner based on the target insurance marketing agent; wherein the preset insurance marketing work chain is a work chain obtained by pre-arranging the insurance marketing work processes required in the target insurance marketing scenario in sequence.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the insurance marketing agent creation method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store a computer program, which, when executed by a processor, implements the insurance marketing intelligent entity creation method as described in any one of claims 1 to 7.

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