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

Abstract

The invention discloses an intelligent application platform data display method and device, equipment, a storage medium and a computer program product, relates to the technical field of large models, and discloses an intelligent application platform data display method which comprises the following steps: responding to problem information input in an intelligent application platform; performing question understanding on the question information through a large language model to obtain a user demand, the intelligent application platform being obtained by performing knowledge retrieval enhancement and scene fusion of a preset service through a target large model; searching a private domain knowledge base according to the user demand through the large language model to obtain target private domain data corresponding to the user demand, the private domain knowledge base being a knowledge base generated based on preset unit data assets; and integrating the target private domain data, and displaying the integrated target private domain data. Through centralized and unified management of local private domain dispersed files and rapid arrangement of knowledge, efficient acquisition and propagation of knowledge are realized.

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 is slow and 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 contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are 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 purpose, the present application proposes a method for displaying information on an intelligent application platform, the method comprising:

[0006] In response to the question information input in the intelligent application platform, the question information is understood through the large language model to obtain the user's needs. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and scenario fusion of preset business;

[0007] Searching a private domain knowledge base according to 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 the question information input in the intelligent application platform, the step of understanding the question information through a large language model to obtain the user's 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] Determine the problem domain and the problem content according to the problem semantic information;

[0012] User needs are determined 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 demand through the large language model to obtain the target private domain information corresponding to the user demand, the step further includes:

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

[0015] A private domain knowledge base is generated according to 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 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 data of the unit and the domain knowledge information.

[0020] Optionally, the step of searching the private domain knowledge base according to the user demand through the large language model to obtain the target private domain information corresponding to the user demand includes:

[0021] Inputting the user demand 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 the target private domain information corresponding to the user demand.

[0023] Optionally, the step of searching the private domain knowledge base according to the user demand through the large language model to obtain the target private domain information corresponding to the user demand includes:

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

[0025] The target private domain data corresponding to the user demand is selected from the result file through 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 private domain data semantic information 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] Determine the supplementary information of the target private domain data according to the public related data 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] Typesetting and displaying the supplementary display information

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

[0041] A demand determination module is used to respond to the problem information input in the intelligent application platform, understand the problem information through the large language model, and obtain user needs. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and scenario fusion of preset business;

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

[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 also 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 according to 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 data of the preset unit; and construct a target knowledge platform based on the internal data of the unit and the domain knowledge information.

[0047] Optionally, the data search module is further used 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 used to search the private domain knowledge base according to the knowledge query keyword to obtain multiple result files; and select target private domain data corresponding to the user demand from the result files through the large language model.

[0049] Optionally, the data display module is further used to perform semantic understanding on 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 in the memory and executable 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, obtains the user needs, and the intelligent application platform is obtained through the target large model after knowledge retrieval enhancement and preset business scenario integration; 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. 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 drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

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

[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 the present application;

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

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

[0062] The purpose, features and advantages of this application will be further described 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 only used to explain the technical solutions of the present application and are not used 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 the question information input into the intelligent application platform, the question information is understood through the big language model to obtain the user needs, and the intelligent application platform is obtained through the target big model through knowledge retrieval enhancement and preset business scenario fusion; the private domain knowledge base is searched according to the user needs through the big 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; the target private domain information is integrated, and the integrated target private domain information is displayed.

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

[0067] As existing technologies are being used to promote the implementation of big models, some companies have a large amount of scattered file data and lack effective means to 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 is slow and 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 realize the centralized and unified management of local private scattered files and the rapid organization of knowledge; in addition, with the help of the intent understanding and other capabilities of large models, efficient knowledge acquisition and knowledge dissemination are realized. In order to solve the current problems of high cost of using large models for enterprises, difficulty in collecting data, and long time cycle 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 the cloud disk to uniformly store, process, and share enterprise files, and precipitate and process 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 running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a server, etc. The following takes a computer as an example to illustrate this embodiment and the following embodiments.

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

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

[0072] Step S10, in response to the question information input in the intelligent application platform, the question information is understood through the large language model to obtain the user demand, and the intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and scenario fusion of preset business;

[0073] It should be noted that if Figure 2The following is a schematic diagram of the system architecture of the intelligent application platform. On the one hand, it can make full use of the storage capacity to realize the storage and processing of file data. On the other hand, it can use the ability of artificial intelligence to extract data structuredly and collect stored corpus to build artificial intelligence applications, forming business applications such as knowledge question and answer and intelligent bodies, and helping to build applications quickly and safely. The design concept of storage and intelligence integration is based on years of unified file management capabilities and the integration of technologies such as Prompt, RAG, and Agent based on large models to form a data asset based on files as the foundation, as the private domain corpus for building an artificial intelligence application platform, and combined with RAG, Agent and other capabilities, through the configuration of a visual interface, to form artificial intelligence applications to 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's 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, semantically understanding 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 a specific implementation, after the question information is received, 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 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 a large language model to obtain the final user needs.

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

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

[0081] In a feasible implementation manner, 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 first, domain knowledge information is obtained and internal data is called from the target cloud disk, where domain knowledge information is all knowledge related to the preset unit on open source websites or the public Internet. The target cloud disk is the storage space for storing 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 performed to obtain a private domain knowledge base.

[0084] In a feasible implementation manner, 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 information of the preset unit; and constructing the target knowledge platform based on the internal information of the unit 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 materials 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 demand 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 demand.

[0088] It should be understood that the 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 manner, 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 first, the private domain knowledge base is searched through knowledge query keywords to obtain result files related to user needs, and then the target private domain data that needs to be integrated is determined in the result files. Specifically, duplicate files in the result files are deleted, and files that do not meet the timeliness requirements are deleted.

[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 information on an intelligent application platform. In response to question information input in the intelligent application platform, the question information is understood through a large language model to obtain user needs. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and scene fusion of preset business; 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, 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. 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 acquisition of knowledge and dissemination of knowledge 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-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. 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 private domain data semantic information;

[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 public related data information, that is, the semantics of private domain data are searched for related knowledge in the public Internet, and the search result is 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 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 a 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, displaying 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 a 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 typeset and displaying the supplementary display information.

[0109] It should be understood that the display content information is first generated, and then the display content information is supplemented with the data in the target cloud database, and finally the display is formatted and displayed. Among them, the target cloud database is a pre-set reference database, which contains the knowledge of related units other than the files of the preset units, so that it can be displayed not only based on private domain knowledge, but also combined with relevant external knowledge, which is convenient for users to obtain and understand knowledge.

[0110] In this embodiment, the target private domain data is semantically understood by the large language model to obtain the semantic information of the private domain data; the target private domain data is integrated according to the semantic information of the private domain data; and the integrated target private domain data is displayed. In this way, the target private domain data is integrated and supplemented, and the efficiency of users acquiring knowledge is improved.

[0111] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the data display method of the intelligent application platform of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present 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 problem information input in the intelligent application platform, understand the problem information through the large language model, and obtain the user demand. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and scenario fusion of preset business;

[0114] A data search module 20, configured to search a private domain knowledge base according to the user's needs through the large language model to obtain a target private domain data corresponding to the user's needs, wherein the private domain knowledge base is a knowledge base generated based on a preset unit data asset;

[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 in the intelligent application platform, understands the question information through the large language model, obtains the user demand, and the intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and preset business scenario integration; searches the private domain knowledge base according to the user demand through the large language model to obtain the target private domain information corresponding to the user demand, 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. 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 according to 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 used 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 the target private domain data corresponding to the user demand.

[0121] In one embodiment, the data search module 20 is further used to search the private domain knowledge base according to the knowledge query keyword to obtain multiple result files; and select the target private domain data corresponding to the user demand from the result files through the large language model.

[0122] In one embodiment, the data display module 30 is further used to perform semantic understanding on 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 used 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 used to determine the data supplementary information of the target private domain data according to the public related data information; annotate the target private domain data according to the data supplementary information, and integrate based on the annotated target private domain 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 typeset and display the supplementary display information.

[0126] The intelligent application platform data display device provided by this application adopts the intelligent application platform data display method in the above embodiment, which can solve the technical problem that local knowledge and files cannot be flexibly applied. Compared with the prior art, the beneficial effects of the intelligent application platform data display device 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 the other technical features in the intelligent application platform data display device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0127] The present application provides an intelligent application platform data display device, which includes: at least one processor; and a memory that is 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 so that the at least one processor can 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 embodiment of the present application. The intelligent application platform data display device in the embodiment 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), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. 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 processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the intelligent application platform data display device are also stored. The processing device 1001, ROM1002 and RAM1004 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, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the intelligent application platform data display device to communicate wirelessly or wired with other devices to exchange data. Although the figure shows an intelligent application platform data 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 may be implemented or have alternatively.

[0130] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a 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 through 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 by this application adopts the intelligent application platform data display method in the above embodiment, which can solve the technical problem that local knowledge and files cannot be flexibly applied. Compared with the prior art, the beneficial effects of the intelligent application platform data display device 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 the other technical features in the intelligent application platform data display device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0132] It should be understood that the various parts disclosed in this application can be implemented by 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 is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0134] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, 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 the present 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 of the above. 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 of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination 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 of the above.

[0136] The above-mentioned 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 information display device, the intelligent application platform information 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 separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of 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., via the Internet using an Internet service provider).

[0139] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the 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 square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square 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 square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0140] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0141] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned intelligent application platform data display method, and can solve the technical problem that local knowledge and files cannot be flexibly applied. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the intelligent application platform data display method provided by the above-mentioned embodiment, and will not be repeated 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 that local knowledge and files cannot be flexibly applied. 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, which will not be repeated here.

[0144] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications 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 the question information input in the intelligent application platform, the question information is understood through the large language model to obtain the user's needs. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and scenario fusion of preset business;

[0147] Searching a private domain knowledge base according to 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 of a target cloud disk;

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

[0149] A2. As described in the method of A1, in response to the question information input in the intelligent application platform, the step of understanding the question information through the large language model to obtain the user's 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] Determine the problem domain and the problem content according to the problem semantic information;

[0152] User needs are determined based on the problem domain and the problem content.

[0153] A3. The method as described in A1, wherein before the step of searching the private domain knowledge base 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 step further includes:

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

[0155] A private domain knowledge base is generated according to 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 data of the unit and the domain knowledge information.

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

[0161] Inputting the user demand 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 the target private domain information corresponding to the user demand.

[0163] A6. As described in the method of A5, the step of searching the private domain knowledge base according to the user's needs through the large language model to obtain the 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] The target private domain data corresponding to the user demand is selected from the result file through the large language model.

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

[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. As described in A7, the step of integrating the target private domain data according to the private domain data semantic information comprises:

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

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

[0173] A9. As described in the method of A8, the step of integrating the target private domain data according to the public related data information includes:

[0174] Determine the supplementary information of the target private domain data according to the public related data 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. As described in A7, 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 data display device for an intelligent application platform, the device comprising:

[0181] A demand determination module is used to respond to the problem information input in the intelligent application platform, understand the problem information through the large language model, and obtain user needs. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and scenario fusion of preset business;

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

[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 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 according to the question semantic information; and determine user needs according to the problem domain and the problem content.

[0185] B13. In the device as described in B11, the data search module is also 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 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.

[0187] B15. In the device as described in B11, the data search module is also used 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 the target private domain data corresponding to the user demand.

[0188] B16. In the device as described in B15, the data search module is also used to search the private domain knowledge base according to the knowledge query keyword to obtain multiple result files; and select the target private domain data corresponding to the user demand from the result files through the large language model.

[0189] B17. In the device as 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, on which a computer program is stored, and 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, and when the computer program is executed by a processor, the steps of the intelligent application platform data display method as described above are implemented.

Claims

1. A method for displaying data on an intelligent application platform, characterized in that: The method includes: In response to the question information input in the intelligent application platform, the question information is understood through the large language model to obtain the user's needs. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and scenario fusion of preset business; Searching a private domain knowledge base according to 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 of a target cloud disk; The target private domain data is integrated, and the integrated target private domain data is displayed.

2. The method according to claim 1, characterized in that The step of understanding the question information input into the intelligent application platform by using a large language model to obtain the user's 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; Determine the problem domain and the problem content according to the problem semantic information; User needs are determined based on the problem domain and the problem content.

3. The method according to claim 1, characterized in that Before the step of searching the private domain knowledge base 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 following step is further included: Build the target knowledge platform based on domain knowledge information and preset unit data assets of the target cloud disk; A private domain knowledge base is generated according to the target knowledge platform and the preset large model.

4. The method according to claim 3, characterized in that 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: 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 data of the unit and the domain knowledge information.

5. The method according to claim 1, characterized in that The step of searching the private domain knowledge base according to the user's needs through the large language model to obtain the target private domain information corresponding to the user's needs includes: Inputting the user demand 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 the target private domain information corresponding to the user demand.

6. The method according to claim 5, characterized in that The step of searching the private domain knowledge base according to the user's needs through the large language model to obtain the 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; The target private domain data corresponding to the user demand is selected from the result file through the large language model.

7. A data display device for an intelligent application platform, characterized in that: The device comprises: A demand determination module is used to respond to the problem information input in the intelligent application platform, understand the problem information through the large language model, and obtain user needs. The intelligent application platform is obtained through the target large model through knowledge retrieval enhancement and scenario fusion of preset business; A data search module, configured to search a private domain knowledge base according to the user's needs through the large language model to obtain a target private domain data corresponding to the user's needs, wherein the private domain knowledge base is a knowledge base generated based on a preset unit data asset; The data display module is used to integrate the target private domain data and display the integrated target private domain data.

8. An intelligent application platform data display device, characterized in that: The device comprises: 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 a 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.

Images