Intelligent application platform data display method, device, equipment, storage medium and computer program product

Abstract

The present application discloses a method, apparatus, device, storage medium and computer program product for displaying data on an intelligent application platform, and relates to the field of large model technology. The method discloses the method for displaying data on an intelligent application platform, including: responding to question information input into the intelligent application platform, understanding the question information through a large language model, and obtaining user needs, which are obtained by the intelligent application platform through knowledge retrieval enhancement and scene fusion of preset business through the target large model; searching a private domain knowledge base based on the user needs through the large language model to obtain target private domain data corresponding to the user needs, wherein the private domain knowledge base is a knowledge base generated based on preset unit data assets; integrating the target private domain data, and displaying the integrated target private domain data. The centralized and unified management of local private domain scattered files and the rapid organization of knowledge realize efficient acquisition of knowledge and dissemination of knowledge.

Description

Technical Field

[0001] The present application relates to the field of large model technology, and in particular to methods, devices, equipment, storage media and computer program products for displaying data on an intelligent application platform. Background Art

[0002] In the process of promoting the implementation of big models, some companies have a large amount of scattered file data, but lack effective management methods to effectively manage the files and organize and process them into knowledge; some companies have introduced knowledge management platforms, but because the iteration and update of knowledge are slow, the dissemination cannot meet expectations. They need to use the capabilities of big models to help users acquire knowledge more quickly and maximize the value of knowledge.

[0003] The above content is only used to assist in understanding the technical solution of this application and does not constitute an admission that the above content is prior art. Summary of the Invention

[0004] The main purpose of this application is to provide a method, device, equipment, storage medium and computer program product for displaying data on an intelligent application platform, aiming to solve the technical problem that local knowledge and files cannot be flexibly applied.

[0005] To achieve the above objectives, this application proposes a method for displaying data on an intelligent application platform, the method comprising:

[0006] In response to question information input into the intelligent application platform, the question information is understood through the large language model to obtain user needs. The intelligent application platform is obtained through knowledge retrieval enhancement and pre-set business scenario fusion through the target large model;

[0007] Searching a private domain knowledge base based on the user's needs through the large language model to obtain target private domain information corresponding to the user's needs, wherein the private domain knowledge base is a knowledge base generated based on preset unit data assets;

[0008] The target private domain data is integrated, and the integrated target private domain data is displayed.

[0009] Optionally, in response to question information input into the intelligent application platform, the step of understanding the question information through a large language model to obtain user needs includes:

[0010] In response to question information input into the intelligent application platform, semantic understanding of the question information is performed through a large language model to obtain question semantic information;

[0011] determining the problem domain and the problem content according to the problem semantic information;

[0012] Determine user needs based on the problem domain and the problem content.

[0013] Optionally, before the step of searching the private domain knowledge base according to the user needs using the large language model to obtain target private domain information corresponding to the user needs, the step further includes:

[0014] Build a target knowledge platform based on domain knowledge information and preset unit data assets in the target cloud disk;

[0015] A private domain knowledge base is generated based on the target knowledge platform and the preset large model.

[0016] Optionally, the step of constructing the target knowledge platform based on the domain knowledge information and the preset unit data assets of the target cloud disk includes:

[0017] Determine the domain knowledge information of the preset unit through the preset knowledge management platform;

[0018] Query the target cloud disk to obtain the internal information of the preset unit;

[0019] Construct a target knowledge platform based on the internal information of the unit and the domain knowledge information.

[0020] Optionally, the step of searching a private domain knowledge base according to the user's needs using the large language model to obtain target private domain information corresponding to the user's needs includes:

[0021] Inputting the user requirements into the large language model to generate knowledge query keywords;

[0022] The private domain knowledge base is searched according to the knowledge query keyword to obtain target private domain information corresponding to the user demand.

[0023] Optionally, the step of searching a private domain knowledge base according to the user's needs using the large language model to obtain target private domain information corresponding to the user's needs includes:

[0024] Searching a private domain knowledge base according to the knowledge query keyword to obtain multiple result files;

[0025] Target private domain information corresponding to the user's needs is selected from the result file using the large language model.

[0026] Optionally, the step of integrating the target private domain data and displaying the integrated target private domain data includes:

[0027] Performing semantic understanding on the target private domain data through the large language model to obtain semantic information of the private domain data;

[0028] Integrating the target private domain data according to the semantic information of the private domain data;

[0029] Display the integrated target private domain information.

[0030] Optionally, the step of integrating the target private domain data according to the private domain data semantic information includes:

[0031] Performing a network query based on the semantic information of the private domain data to obtain public related data information;

[0032] The target private domain data is integrated according to the public related data information.

[0033] Optionally, the step of integrating the target private domain data according to the public related data information includes:

[0034] Determining supplementary information of the target private domain profile based on the public related profile information;

[0035] The target private domain data is annotated according to the data supplementary information, and integration is performed based on the annotated target private domain data.

[0036] Optionally, the step of displaying the integrated target private domain information includes:

[0037] Generate display content information based on the integrated target private domain data;

[0038] Supplementing the display content information according to the target cloud database to obtain supplementary display content;

[0039] Format and display the supplementary display information

[0040] In addition, to achieve the above-mentioned purpose, the present application also proposes a smart application platform data display device, which includes:

[0041] A demand determination module is used to respond to question information input into the intelligent application platform, understand the question information through the large language model, and obtain user needs. The intelligent application platform obtains the user needs through knowledge retrieval enhancement and pre-set business scenario fusion of the target large model;

[0042] a data search module, configured to search a private domain knowledge base based on the user's needs using the large language model to obtain target private domain data corresponding to the user's needs, wherein the private domain knowledge base is a knowledge base generated based on preset unit data assets;

[0043] The data display module is used to integrate the target private domain data and display the integrated target private domain data.

[0044] Optionally, the demand determination module is also used to, when receiving question information input through the intelligent application platform, perform semantic understanding on the question information through a large language model to obtain question semantic information; determine the problem domain and problem content based on the question semantic information; and determine user needs based on the problem domain and the problem content.

[0045] Optionally, the data search module is further used to build a target knowledge platform based on domain knowledge information and preset unit data assets of the target cloud disk; and generate a private domain knowledge base based on the target knowledge platform and the preset large model.

[0046] Optionally, the data search module is also used to determine the domain knowledge information of a preset unit through a preset knowledge management platform; query the target cloud disk to obtain the internal information of the preset unit; and construct a target knowledge platform based on the internal information of the unit and the domain knowledge information.

[0047] Optionally, the data search module is further configured to input the user demand into the large language model to generate knowledge query keywords; search the private domain knowledge base according to the knowledge query keywords to obtain target private domain data corresponding to the user demand.

[0048] Optionally, the data search module is further configured to search a private domain knowledge base according to the knowledge query keyword to obtain a plurality of result files; and select target private domain data corresponding to the user needs from the result files through the large language model.

[0049] Optionally, the data display module is further configured to perform semantic understanding of the target private domain data through the large language model to obtain semantic information of the private domain data; integrate the target private domain data according to the semantic information of the private domain data; and display the integrated target private domain data.

[0050] In addition, to achieve the above-mentioned purpose, the present application also proposes an intelligent application platform data display device, which includes: a memory, a processor, and a computer program stored on the memory and runnable on the processor, and the computer program is configured to implement the steps of the intelligent application platform data display method as described above.

[0051] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the intelligent application platform data display method described above are implemented.

[0052] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the intelligent application platform data display method as described above.

[0053] One or more technical solutions proposed in this application have at least the following technical effects:

[0054] This application responds to the question information input in the intelligent application platform, understands the question information through the large language model, and obtains the user needs. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and preset business scenario integration; the private domain knowledge base is searched according to the user needs through the large language model to obtain the target private domain information corresponding to the user needs. The private domain knowledge base is a knowledge base generated based on preset unit data assets; the target private domain information is integrated and the integrated target private domain information is displayed. In this way, an artificial intelligence application development platform based on storage and intelligence integration is realized. The artificial intelligence application development platform uses the unified file storage of the cloud disk and the complete capabilities of knowledge collection, processing and application to achieve centralized and unified management of local private domain scattered files and rapid organization of knowledge; in addition, with the intention understanding and other capabilities of the large model, efficient knowledge acquisition and knowledge dissemination are achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0056] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0057] Figure 1 A flowchart of the first embodiment of the method for displaying data on the intelligent application platform of this application is provided;

[0058] Figure 2 A schematic diagram of the structure of an intelligent application platform provided in accordance with an embodiment of the intelligent application platform data display method of this application;

[0059] Figure 3 A flowchart of the second embodiment of the method for displaying data on the intelligent application platform of this application is provided;

[0060] Figure 4 This is a schematic diagram of the module structure of the intelligent application platform data display device according to the embodiment of the present application;

[0061] Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the intelligent application platform data display method in the embodiment of this application.

[0062] The purpose, features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0063] It should be understood that the specific embodiments described herein are merely used to explain the technical solutions of the present application and are not intended to limit the present application.

[0064] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0065] The main solution of the embodiment of the present application is: in response to question information input into the intelligent application platform, the question information is understood through the large language model to obtain user needs, and the intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and preset business scenario integration; the private domain knowledge base is searched according to the user needs through the large language model to obtain target private domain information corresponding to the user needs, and the private domain knowledge base is a knowledge base generated based on preset unit data assets; the target private domain information is integrated, and the integrated target private domain information is displayed.

[0066] In this embodiment, for ease of description, the following description is made with the identification computer as the execution subject.

[0067] As existing technologies are promoting the implementation of big models, some companies have a large amount of scattered file data and lack effective management methods to effectively manage the files and organize and process them into knowledge; some companies have introduced knowledge management platforms, but because the iteration and update of knowledge are slow, the dissemination cannot meet expectations. They need to use the capabilities of big models to help users acquire knowledge more quickly and maximize the value of knowledge.

[0068] The present application provides a solution, through which an artificial intelligence application development platform based on storage and intelligence integration is realized. The artificial intelligence application development platform uses the unified file storage of cloud disks and the complete capabilities of knowledge collection, processing and application to achieve centralized and unified management of local private domain scattered files and rapid organization of knowledge; in addition, with the intention understanding and other capabilities of large models, efficient knowledge acquisition and knowledge dissemination are achieved. In order to solve the current problems of high cost of using large models for enterprises, difficulty in collecting data, and long time period for building intelligent applications, a storage and intelligence integrated artificial intelligence application development method is provided. This method uses the knowledge management platform as the data asset base, uses cloud disks to uniformly store, process, share, etc. enterprise files, and precipitates and processes them into knowledge, and then combines them based on knowledge and intelligence capabilities to build a variety of intelligent applications, realizing AI empowerment to AI native.

[0069] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, mobile phone, etc., or an electronic device or server capable of implementing the above functions. The following describes this embodiment and the following embodiments using a computer as an example.

[0070] Based on this, the embodiment of the present application provides a method for displaying data on an intelligent application platform. Figure 1 , Figure 1 This is a flow chart of the first embodiment of the intelligent application platform data display method of this application.

[0071] In this embodiment, the intelligent application platform data display method includes steps S10 to S40:

[0072] Step S10: In response to question information input into the intelligent application platform, the question information is understood by the large language model to obtain user needs, which are obtained by the intelligent application platform through knowledge retrieval enhancement and scenario fusion of preset business through the target large model;

[0073] It should be noted that if Figure 2The following diagram shows the system architecture of the intelligent application platform. This platform fully utilizes storage capabilities to store and process file data. Furthermore, it leverages AI capabilities to extract structured data and aggregate stored corpora for AI applications, enabling the rapid and secure construction of business applications such as knowledge question-answering and intelligent agents. This integrated storage and intelligence design concept leverages years of experience in unified file management and the integration of large-scale model-based technologies such as Prompt, RAG, and Agent. This creates a foundation of file-based data assets, serving as the private domain corpus for building the AI application platform. Combined with RAG and Agent capabilities, this platform is configured through a visual interface to create AI applications that serve users.

[0074] It should be understood that the question information input by the user is first received through the intelligent application platform, and then semantic analysis and understanding are performed through the large language model, so that the user needs can be determined.

[0075] In a feasible implementation, in order to accurately determine user needs, step S10 includes: in response to question information input into the intelligent application platform, performing semantic understanding on the question information through a large language model to obtain question semantic information; determining the problem domain and problem content based on the question semantic information; and determining user needs based on the problem domain and the problem content.

[0076] In the specific implementation, after receiving the question information, the question information is input into a pre-trained and set large language model for understanding and analysis to obtain the question semantic information.

[0077] It should be noted that after obtaining the question semantic information, the problem domain and question content of the user's question are determined, wherein the problem domain includes but is not limited to: medical care, government policy, education, enterprise, etc.

[0078] It should be understood that after determining the problem domain and problem content, the user needs are analyzed through the large language model to obtain the final user needs.

[0079] Step S20: searching a private domain knowledge base based on the user's needs using the large language model to obtain target private domain information corresponding to the user's needs, wherein the private domain knowledge base is a knowledge base generated based on preset unit data assets;

[0080] In a specific implementation, after obtaining user needs, data is searched based on the user needs through a large prediction model. The search target is a private domain knowledge base. The private domain knowledge base is generated for the internal data of a preset unit. The preset unit can be any enterprise, agency unit, or group unit set up by the user. This embodiment does not limit this.

[0081] In a feasible implementation, in order to construct a private domain knowledge base, before step S20, it also includes: constructing a target knowledge platform based on domain knowledge information and preset unit data assets of the target cloud disk; and generating a private domain knowledge base based on the target knowledge platform and the preset large model.

[0082] It should be noted that domain knowledge information is first obtained and internal data is retrieved from the target cloud disk. Domain knowledge information refers to all knowledge related to the preset unit on open source websites or the public Internet. The target cloud disk is the storage space for files and data within the preset unit.

[0083] It should be understood that after the target knowledge platform is constructed, the target indication platform is transformed through a preset large model, and knowledge enhancement and business integration are carried out to obtain a private domain knowledge base.

[0084] In a feasible implementation method, in order to accurately construct the target knowledge platform, the steps of constructing the target knowledge platform based on the domain knowledge information and the preset unit data assets of the target cloud disk include: determining the domain knowledge information of the preset unit through the preset knowledge management platform; querying the target cloud disk to obtain the internal unit information of the preset unit; and constructing the target knowledge platform based on the internal unit information and the domain knowledge information.

[0085] In the specific implementation, the preset knowledge management platform is first introduced to extract the domain knowledge information of the preset unit. The preset knowledge management platform is a pre-built open source knowledge base, which includes knowledge in various fields, so the knowledge involved in the preset unit needs to be extracted first.

[0086] It should be noted that, by querying the target cloud disk again, the internal files and information needed by the preset unit to build the private domain knowledge base this time can be obtained, and finally the target knowledge platform can be obtained.

[0087] In a feasible implementation, in order to accurately query the target private domain information, step S20 includes: inputting the user needs into the large language model to generate knowledge query keywords; searching the private domain knowledge base according to the knowledge query keywords to obtain the target private domain information corresponding to the user needs.

[0088] It should be understood that user needs are first directly input into the large language model for need analysis, and keywords for query, ie, knowledge query keywords, are generated.

[0089] In the specific implementation, after obtaining the knowledge query keywords, the private domain knowledge base is searched through the knowledge query keywords, so as to obtain the target private domain information corresponding to the user needs, that is, the information that the user needs to apply this time.

[0090] In a feasible implementation, in order to accurately obtain the target private domain information, the step of searching the private domain knowledge base according to the user needs through the large language model to obtain the target private domain information corresponding to the user needs includes: searching the private domain knowledge base according to the knowledge query keywords to obtain multiple result files; and selecting the target private domain information corresponding to the user needs from the result files through the large language model.

[0091] It should be noted that the private domain knowledge base is first searched using knowledge query keywords to obtain result files related to user needs. Then, the target private domain data to be integrated is determined in the result files. Specifically, duplicate files and files that do not meet the timeliness requirements are deleted from the result files.

[0092] Step S30: integrating the target private domain information and displaying the integrated target private domain information.

[0093] It should be understood that after obtaining the target private domain information, the information is integrated and summarized, and finally formatted and displayed.

[0094] This embodiment provides a method for displaying data on an intelligent application platform. In response to question information input into the intelligent application platform, the question information is understood by a large language model to obtain user needs. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and preset business scenario integration; the private domain knowledge base is searched by the large language model according to the user needs to obtain target private domain data corresponding to the user needs. The private domain knowledge base is a knowledge base generated based on preset unit data assets; the target private domain data is integrated and the integrated target private domain data is displayed. In this way, an artificial intelligence application development platform based on storage and intelligence integration is realized. The artificial intelligence application development platform uses the unified file storage of the cloud disk and the complete capabilities of knowledge collection, processing and application to achieve centralized and unified management of local private domain scattered files and rapid organization of knowledge; in addition, with the intention understanding and other capabilities of the large model, efficient knowledge acquisition and knowledge dissemination are achieved.

[0095] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above embodiment 1 can be referred to the above introduction and will not be described in detail later. Figure 2 , step S30 includes steps S301 to S303:

[0096] Step S301: performing semantic understanding on the target private domain data through the large language model to obtain semantic information of the private domain data;

[0097] It should be noted that first, all files of the target private domain information are semantically analyzed and summarized through a large language model, such as summary generation and outline generation.

[0098] Step S302: integrating the target private domain data according to the semantic information of the private domain data;

[0099] It should be understood that after obtaining the semantic information of the private domain data, file integration and knowledge aggregation are performed based on the semantics of all target private domain data.

[0100] In a feasible implementation, in order to more efficiently integrate data, step S302 includes: performing a network query based on the private domain data semantic information to obtain public related data information; and integrating the target private domain data according to the public related data information.

[0101] In the specific implementation, firstly, a network query is performed based on the semantic information of private domain data to obtain the public related data information, that is, the private domain data semantics are searched for related knowledge in the public Internet, and the search results are the public related data information.

[0102] It should be noted that after obtaining the public relevant information, the target private domain information is integrated based on the public relevant information.

[0103] In a feasible implementation manner, in order to integrate the target private domain data based on the public relevant data information, the step of integrating the target private domain data based on the public relevant data information includes: determining the data supplementary information of the target private domain data based on the public relevant data information; annotating the target private domain data based on the data supplementary information, and integrating based on the annotated target private domain data.

[0104] It should be understood that the target private domain data is first supplemented with knowledge based on the public relevant information, and then annotations are made to the target private domain data based on the results of the knowledge supplement. The annotations may include but are not limited to: outdated content, redundant content, erroneous content, repeated content, and content that needs to be supplemented, etc.

[0105] In specific implementation, after obtaining the supplementary information of the data, the target private domain data after the mahjong annotation is updated to complete the integration.

[0106] Step S303: Display the integrated target private domain information.

[0107] It should be noted that after the integration is completed, the target private domain information needs to be displayed in a format that is more convenient for users, and content supplements and annotations can be added to the target private domain information to facilitate users to acquire knowledge.

[0108] In a feasible implementation, in order to make the display easy to read, step S303 includes: generating display content information based on the integrated target private domain information; supplementing the display content information according to the target cloud database to obtain supplementary display content; and formatting and displaying the supplementary display information.

[0109] It should be understood that the display content information is first generated, then supplemented with data from the target cloud database, and finally formatted for display. The target cloud database is a pre-defined reference database that contains knowledge from related units beyond the pre-defined units. This allows for display based not only on private domain knowledge but also on relevant external knowledge, making it easier for users to acquire and understand knowledge.

[0110] This embodiment uses the large language model to perform semantic understanding on the target private domain data to obtain semantic information about the private domain data; integrates the target private domain data based on the semantic information; and displays the integrated target private domain data. In this way, the target private domain data is integrated and supplemented, improving the efficiency of user knowledge acquisition.

[0111] It should be noted that the above examples are only used to understand this application and do not constitute a limitation on the data display method of the intelligent application platform of this application. More simple transformations based on this technical concept are all within the scope of protection of this application.

[0112] This application also provides a smart application platform data display device, please refer to Figure 4 , the intelligent application platform data display device includes:

[0113] The demand determination module 10 is used to respond to the question information input into the intelligent application platform, understand the question information through the large language model, and obtain the user demand. The intelligent application platform obtains the user demand through the target large model through knowledge retrieval enhancement and pre-set business scenario fusion;

[0114] A data search module 20 is configured to search a private domain knowledge base based on the user's needs using the large language model to obtain target private domain data corresponding to the user's needs. The private domain knowledge base is a knowledge base generated based on preset unit data assets.

[0115] The data display module 30 is used to integrate the target private domain data and display the integrated target private domain data.

[0116] This embodiment responds to the question information input into the intelligent application platform, understands the question information through the large language model, and obtains the user's needs. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and preset business scenario integration; the private domain knowledge base is searched according to the user's needs through the large language model to obtain the target private domain information corresponding to the user's needs. The private domain knowledge base is a knowledge base generated based on preset unit data assets; the target private domain information is integrated and the integrated target private domain information is displayed. In this way, an artificial intelligence application development platform based on storage and intelligence integration is realized. The artificial intelligence application development platform uses the unified file storage of the cloud disk and the complete capabilities of knowledge collection, processing and application to achieve centralized and unified management of local private domain scattered files and rapid organization of knowledge; in addition, with the intention understanding and other capabilities of the large model, efficient knowledge acquisition and knowledge dissemination are achieved.

[0117] In one embodiment, the demand determination module 10 is also used to, when receiving question information input through the intelligent application platform, perform semantic understanding on the question information through a large language model to obtain question semantic information; determine the problem domain and problem content based on the question semantic information; and determine user needs based on the problem domain and the problem content.

[0118] In one embodiment, the data search module 20 is further used to build a target knowledge platform based on domain knowledge information and preset unit data assets of the target cloud disk; and generate a private domain knowledge base based on the target knowledge platform and the preset large model.

[0119] In one embodiment, the data search module 20 is also used to determine the domain knowledge information of a preset unit through a preset knowledge management platform; query the target cloud disk to obtain the internal data of the preset unit; and construct a target knowledge platform based on the internal data of the unit and the domain knowledge information.

[0120] In one embodiment, the data search module 20 is further configured to input the user demand into the large language model to generate knowledge query keywords; search the private domain knowledge base according to the knowledge query keywords to obtain target private domain data corresponding to the user demand.

[0121] In one embodiment, the data search module 20 is further configured to search a private domain knowledge base according to the knowledge query keyword to obtain a plurality of result files; and select target private domain data corresponding to the user needs from the result files using the large language model.

[0122] In one embodiment, the data display module 30 is further configured to perform semantic understanding of the target private domain data through the large language model to obtain semantic information of the private domain data; integrate the target private domain data according to the semantic information of the private domain data; and display the integrated target private domain data.

[0123] In one embodiment, the data display module 30 is further configured to perform a network query based on the private domain data semantic information to obtain public related data information; and integrate the target private domain data according to the public related data information.

[0124] In one embodiment, the data display module 30 is further configured to determine supplementary data of the target private domain data based on the public related data information; annotate the target private domain data based on the supplementary data information; and integrate the target private domain data based on the annotated data.

[0125] In one embodiment, the data display module 30 is further used to generate display content information based on the integrated target private domain data; supplement the display content information according to the target cloud database to obtain supplementary display content; and format and display the supplementary display information.

[0126] The intelligent application platform data display device provided in this application utilizes the intelligent application platform data display method of the aforementioned embodiment, and can resolve the technical problem of the inability to flexibly apply local knowledge and files. Compared to the prior art, the beneficial effects of the intelligent application platform data display device provided in this application are the same as those of the intelligent application platform data display method provided in the aforementioned embodiment. The other technical features of the intelligent application platform data display device are the same as those disclosed in the aforementioned embodiment method, and are not further described here.

[0127] The present application provides an intelligent application platform data display device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the intelligent application platform data display method in the above-mentioned embodiment one.

[0128] Reference below Figure 5, which shows a schematic diagram of the structure of an intelligent application platform data display device suitable for implementing the embodiments of the present application. The intelligent application platform data display device in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (such as in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 The smart application platform data display device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0129] like Figure 5 As shown, the intelligent application platform data display device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM) 1004. Various programs and data required for the operation of the intelligent application platform data display device are also stored in the RAM 1004. The processing device 1001, ROM 1002 and RAM 1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the intelligent application platform information display device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows an intelligent application platform information display device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or have instead.

[0130] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program comprising program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0131] The intelligent application platform data display device provided in this application utilizes the intelligent application platform data display method described in the aforementioned embodiment, resolving the technical issue of the inability to flexibly apply local knowledge and files. Compared to the prior art, the beneficial effects of the intelligent application platform data display device provided in this application are the same as those of the intelligent application platform data display method described in the aforementioned embodiment. The other technical features of this intelligent application platform data display device are the same as those disclosed in the aforementioned embodiment and are not further elaborated upon here.

[0132] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0133] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

[0134] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the intelligent application platform data display method in the above-mentioned embodiment.

[0135] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0136] The computer-readable storage medium may be included in the intelligent application platform data display device; or it may exist independently without being assembled into the intelligent application platform data display device.

[0137] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the intelligent application platform data display device, the intelligent application platform data display device: responds to the question information input in the intelligent application platform, understands the question information through the large language model, and obtains user needs. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and preset business scenario fusion; searches the private domain knowledge base according to the user needs through the large language model to obtain the target private domain information corresponding to the user needs, and the private domain knowledge base is a knowledge base generated based on preset unit data assets; integrates the target private domain information, and displays the integrated target private domain information.

[0138] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0139] The flow charts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0140] The modules described in the embodiments of the present application may be implemented in software or hardware, wherein the name of a module does not necessarily limit the unit itself.

[0141] The computer-readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the aforementioned intelligent application platform data display method. This computer-readable storage medium can address the technical issue of the inflexible application of local knowledge and files. Compared to the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the intelligent application platform data display method provided in the aforementioned embodiment, and are not further elaborated here.

[0142] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned intelligent application platform data display method when executed by a processor.

[0143] The computer program product provided by this application can solve the technical problem of the inability to flexibly apply local knowledge and files. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the intelligent application platform data display method provided by the above embodiment, and will not be repeated here.

[0144] The above description is only part of the embodiments of the present application and does not limit the patent scope of the present application. All equivalent structural transformations made by using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect application in other related technical fields are included in the patent protection scope of the present application.

[0145] The present invention discloses A1. a method for displaying data on an intelligent application platform, the method comprising:

[0146] In response to question information input into the intelligent application platform, the question information is understood through the large language model to obtain user needs. The intelligent application platform is obtained through knowledge retrieval enhancement and pre-set business scenario fusion through the target large model;

[0147] Searching a private domain knowledge base based on the user's needs using the large language model to obtain target private domain information corresponding to the user's needs, wherein the private domain knowledge base is a knowledge base generated based on preset unit data assets of the target cloud disk;

[0148] The target private domain data is integrated, and the integrated target private domain data is displayed.

[0149] A2. The method described in A1, wherein, in response to question information input into the intelligent application platform, the step of understanding the question information through a large language model to obtain user needs includes:

[0150] In response to question information input into the intelligent application platform, semantic understanding of the question information is performed through a large language model to obtain question semantic information;

[0151] determining the problem domain and the problem content according to the problem semantic information;

[0152] Determine user needs based on the problem domain and the problem content.

[0153] A3. The method described in A1, wherein before the step of searching the private domain knowledge base based on the user's needs using the large language model to obtain target private domain information corresponding to the user's needs, the method further includes:

[0154] Build a target knowledge platform based on domain knowledge information and preset unit data assets in the target cloud disk;

[0155] A private domain knowledge base is generated based on the target knowledge platform and the preset large model.

[0156] A4. As described in the method of A3, the step of building a target knowledge platform based on the domain knowledge information and the preset unit data assets of the target cloud disk includes:

[0157] Determine the domain knowledge information of the preset unit through the preset knowledge management platform;

[0158] Query the target cloud disk to obtain the internal information of the preset unit;

[0159] Construct a target knowledge platform based on the internal information of the unit and the domain knowledge information.

[0160] A5. The method described in A1, wherein the step of searching the private domain knowledge base based on the user's needs using the large language model to obtain target private domain information corresponding to the user's needs includes:

[0161] Inputting the user requirements into the large language model to generate knowledge query keywords;

[0162] The private domain knowledge base is searched according to the knowledge query keyword to obtain target private domain information corresponding to the user demand.

[0163] A6. The method described in A5, wherein the step of searching the private domain knowledge base based on the user's needs using the large language model to obtain target private domain information corresponding to the user's needs includes:

[0164] Searching a private domain knowledge base according to the knowledge query keyword to obtain multiple result files;

[0165] Target private domain information corresponding to the user's needs is selected from the result file using the large language model.

[0166] A7. As described in the method of A1, the steps of integrating the target private domain data and displaying the integrated target private domain data include:

[0167] Performing semantic understanding on the target private domain data through the large language model to obtain semantic information of the private domain data;

[0168] Integrating the target private domain data according to the semantic information of the private domain data;

[0169] Display the integrated target private domain information.

[0170] A8. The method described in A7, wherein the step of integrating the target private domain data according to the semantic information of the private domain data includes:

[0171] Performing a network query based on the semantic information of the private domain data to obtain public related data information;

[0172] The target private domain data is integrated according to the public related data information.

[0173] A9. The method described in A8, wherein the step of integrating the target private domain data based on the public related data information includes:

[0174] Determining supplementary information of the target private domain profile based on the public related profile information;

[0175] The target private domain data is annotated according to the data supplementary information, and integration is performed based on the annotated target private domain data.

[0176] A10. The method described in A7, wherein the step of displaying the integrated target private domain information includes:

[0177] Generate display content information based on the integrated target private domain data;

[0178] Supplementing the display content information according to the target cloud database to obtain supplementary display content;

[0179] The supplementary display information is typeset and displayed.

[0180] The present invention also discloses B11. A device for displaying data on an intelligent application platform, the device comprising:

[0181] A demand determination module is used to respond to question information input into the intelligent application platform, understand the question information through the large language model, and obtain user needs. The intelligent application platform obtains the user needs through knowledge retrieval enhancement and pre-set business scenario fusion of the target large model;

[0182] a data search module, configured to search a private domain knowledge base based on the user's needs using the large language model to obtain target private domain data corresponding to the user's needs, wherein the private domain knowledge base is a knowledge base generated based on preset unit data assets;

[0183] The data display module is used to integrate the target private domain data and display the integrated target private domain data.

[0184] B12. In the device as described in B11, the demand determination module is further used to, when receiving question information input through the intelligent application platform, perform semantic understanding on the question information through a large language model to obtain question semantic information; determine the problem domain and problem content based on the question semantic information; and determine user needs based on the problem domain and the problem content.

[0185] B13. In the device described in B11, the data search module is further used to build a target knowledge platform based on domain knowledge information and preset unit data assets of the target cloud disk; and generate a private domain knowledge base based on the target knowledge platform and the preset large model.

[0186] B14. In the device as described in B13, the data search module is further used to determine the domain knowledge information of a preset unit through a preset knowledge management platform; query the target cloud disk to obtain the internal unit information of the preset unit; and construct a target knowledge platform based on the internal unit information and the domain knowledge information.

[0187] B15. In the device described in B11, the data search module is further used to input the user needs into the large language model to generate knowledge query keywords; search the private domain knowledge base based on the knowledge query keywords to obtain target private domain data corresponding to the user needs.

[0188] B16. In the apparatus described in B15, the data search module is further used to search the private domain knowledge base based on the knowledge query keyword to obtain multiple result files; and select target private domain data corresponding to the user needs from the result files through the large language model.

[0189] B17. In the device described in B11, the data display module is further used to perform semantic understanding of the target private domain data through the large language model to obtain semantic information of the private domain data; integrate the target private domain data according to the semantic information of the private domain data; and display the integrated target private domain data.

[0190] The present invention also discloses C18. A smart application platform data display device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the smart application platform data display method as described above.

[0191] The present invention also discloses D19. A storage medium, which is a computer-readable storage medium and stores a computer program. When the computer program is executed by a processor, the steps of the intelligent application platform data display method as described above are implemented.

[0192] The present invention also discloses E20. A computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the intelligent application platform data display method as described above.

Claims

1. A method for displaying data on an intelligent application platform, characterized in that: The method includes: In response to question information input into the intelligent application platform, the question information is understood through the large language model to obtain user needs. The intelligent application platform is obtained through knowledge retrieval enhancement and pre-set business scenario fusion through the target large model; Searching a private domain knowledge base based on the user's needs using the large language model to obtain target private domain information corresponding to the user's needs, wherein the private domain knowledge base is a knowledge base generated based on preset unit data assets of the target cloud disk; Integrating the target private domain data and displaying the integrated target private domain data; The step of integrating the target private domain data and displaying the integrated target private domain data includes: Performing semantic understanding and summarizing of the target private domain data through the large language model to obtain semantic information of the private domain data; Integrating the target private domain data according to the private domain data semantic information, i.e., performing a network query based on the private domain data semantic information to obtain public related data information, supplementing the target private domain data file with knowledge based on the public related data information, and updating the target private domain data based on the annotations of the supplemented knowledge results to complete the integration; Display the integrated target private domain information.

2. The method according to claim 1, wherein The step of understanding the question information input into the intelligent application platform by using a large language model to obtain user needs includes: In response to question information input into the intelligent application platform, semantic understanding of the question information is performed through a large language model to obtain question semantic information; determining the problem domain and the problem content according to the problem semantic information; Determine user needs based on the problem domain and the problem content.

3. The method according to claim 1, wherein Before the step of searching the private domain knowledge base according to the user's needs by using the large language model to obtain target private domain information corresponding to the user's needs, the following step further comprises: Build a target knowledge platform based on domain knowledge information and preset unit data assets in the target cloud disk; A private domain knowledge base is generated based on the target knowledge platform and the preset large model.

4. The method according to claim 3, wherein The steps of constructing a target knowledge platform based on domain knowledge information and preset unit data assets of a target cloud disk include: Determine the domain knowledge information of the preset unit through the preset knowledge management platform; Query the target cloud disk to obtain the internal information of the preset unit; Construct a target knowledge platform based on the internal information of the unit and the domain knowledge information.

5. The method according to claim 1, wherein The step of searching the private domain knowledge base according to the user's needs by using the large language model to obtain target private domain information corresponding to the user's needs includes: Inputting the user requirements into the large language model to generate knowledge query keywords; The private domain knowledge base is searched according to the knowledge query keyword to obtain target private domain information corresponding to the user demand.

6. The method according to claim 5, wherein The step of searching the private domain knowledge base according to the user's needs by using the large language model to obtain target private domain information corresponding to the user's needs includes: Searching a private domain knowledge base according to the knowledge query keyword to obtain multiple result files; Target private domain information corresponding to the user's needs is selected from the result file using the large language model.

7. An intelligent application platform data display device, characterized in that: The device comprises: A demand determination module is used to respond to question information input into the intelligent application platform, understand the question information through the large language model, and obtain user needs. The intelligent application platform obtains the user needs through knowledge retrieval enhancement and pre-set business scenario fusion of the target large model; a data search module, configured to search a private domain knowledge base based on the user's needs using the large language model to obtain target private domain data corresponding to the user's needs, wherein the private domain knowledge base is a knowledge base generated based on preset unit data assets; A data display module, configured to integrate the target private domain data and display the integrated target private domain data; The data display module is further used to perform semantic understanding and summary of the target private domain data through the large language model to obtain semantic information of the private domain data; integrate the target private domain data according to the semantic information of the private domain data, that is, perform a network query based on the semantic information of the private domain data to obtain public related data information, supplement the knowledge of the target private domain data file according to the public related data information, and update the target private domain data based on the annotation of the knowledge supplement result to complete the integration; and display the integrated target private domain data.

8. An intelligent application platform data display device, characterized in that: The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the intelligent application platform data display method according to any one of claims 1 to 6.

9. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the intelligent application platform data display method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the intelligent application platform data display method according to any one of claims 1 to 6 are implemented.

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