Information sharing method and device, equipment, storage medium and computer program product

Abstract

The invention discloses an information sharing method and device, equipment, a storage medium and a computer program product, and relates to the technical field of large models, and the information sharing method comprises the steps that in response to an information sharing instruction triggered in a large model information interaction interface, a corresponding sharing object and a corresponding sharing mode are determined from the information sharing instruction, determining sharing content corresponding to the information sharing instruction based on the information sharing instruction; and transmitting the sharing content to the sharing object based on the sharing mode. Through the mode, sharing configuration based on the information sharing instruction triggered by the user through the large model information interaction interface is realized, then sharing in a specific sharing mode is performed according to the information sharing instruction, the content sharing efficiency and convenience are improved, analysis and sharing can be performed based on the large model, and the user experience is improved. And the flexibility of the shared content is improved.

Description

Technical Field

[0001] The present application relates to the field of large model technology, and in particular to information sharing methods, devices, equipment, storage media and computer program products. Background Art

[0002] Today, large models are widely used, and their use and interaction have become accessible to ordinary users. Ordinary users can interact with large models and acquire knowledge at any time using smartphones or computers. However, in this process, it is sometimes necessary to share the interaction records between the current user and the large model with other users, which inevitably leads to device compatibility issues or display compatibility issues, resulting in a poor sharing and viewing experience for users.

[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 an information sharing method, device, equipment, storage medium and computer program product, aiming to solve the technical problem that the sharing of interactive information with large models is not compatible and convenient enough.

[0005] To achieve the above objectives, this application proposes an information sharing method, which includes:

[0006] In response to an information sharing instruction triggered in the large model information interaction interface, determining a corresponding sharing object and sharing method from the information sharing instruction, and determining sharing content corresponding to the information sharing instruction based on the information sharing instruction;

[0007] The shared content is transmitted to the sharing object based on the sharing method.

[0008] Optionally, the large model information interaction interface includes at least one of the following:

[0009] The information sharing instruction includes an instruction receiving area, conversation content information, discussion group information, and function selection information.

[0010] Optionally, the information sharing instruction includes at least one of the following:

[0011] The sharing configuration information corresponding to the instruction receiving area, the sharing text information corresponding to the conversation content information, and the sharing platform information corresponding to the function selection information.

[0012] Optionally, the step of determining a corresponding sharing object and sharing method from the information sharing instruction, and determining sharing content corresponding to the information sharing instruction based on the information sharing instruction includes:

[0013] Determining conversation content information, discussion group information, and function selection information from the information sharing instruction;

[0014] Determine a sharing object and a sharing method based on the information sharing instruction, the function selection information, and the discussion group information;

[0015] The shared content is determined according to the information sharing instruction and the conversation content information.

[0016] Optionally, the step of determining the sharing content according to the information sharing instruction and the conversation content information includes:

[0017] Determining a conversation text list based on the conversation content information;

[0018] Determining text entry information according to the conversation text list;

[0019] determining user selection information according to the information sharing instruction, and selecting a shared text item from the text item information based on the user selection information;

[0020] The shared content is determined based on the shared text item and the target macro model.

[0021] Optionally, the step of determining the sharing content according to the information sharing instruction and the conversation content information includes:

[0022] Input the shared text item into the target macro model for semantic understanding to obtain sharing outline information;

[0023] The shared text items are sorted and modified according to the sharing outline information to obtain shared content.

[0024] Optionally, the step of arranging and modifying the shared text items according to the sharing outline information to obtain shared content includes:

[0025] Determining redundant information in the large model answer information in the shared text entry according to the sharing outline information;

[0026] Filtering the shared text items based on the redundant information to obtain filtered shared text;

[0027] The filtered shared text is semantically refined using the target macro model, and duplicate text is deleted to obtain shared content.

[0028] Optionally, the step of transmitting the shared content to the sharing object based on the sharing method includes:

[0029] Based on the sharing objects, the shared content is grouped to obtain multiple topic sharing information;

[0030] The subject sharing information is transmitted to the sharing object based on the sharing method.

[0031] Optionally, the step of transmitting the subject sharing information to the sharing object based on the sharing method includes:

[0032] Converting the subject sharing information into at least one sharing information combination based on the sharing method;

[0033] Based on the sharing method, each sharing information combination is transmitted to the sharing object.

[0034] Optionally, the combination based on the shared information includes at least one of the following:

[0035] Topic text sharing information, large model summary information and user evaluation information.

[0036] Optionally, the step of converting the subject sharing information into at least one sharing information combination based on the sharing mode includes:

[0037] Determining a plurality of question topics according to the topic sharing information, and dividing the topic sharing information into a plurality of topic text sharing information based on the question topics;

[0038] Calling the target big model in the big model information interaction interface to summarize the shared information of each subject text to obtain big model summary information;

[0039] Collect user evaluation information based on text sharing information on each topic;

[0040] A sharing information combination is obtained based on the subject text sharing information, the large model summary information and the user evaluation information.

[0041] Optionally, the step of collecting user evaluation information based on the shared information of each topic text includes:

[0042] Based on the shared information of each topic text, a response feedback window is triggered through the large model information interaction interface;

[0043] The user evaluation text fed back in the answer feedback window is collected, and the user evaluation information corresponding to each topic text sharing information is determined based on the user evaluation text.

[0044] Optionally, the step of transmitting each sharing information combination to the sharing object based on the sharing method includes:

[0045] Generate a sharing link template according to the sharing method;

[0046] Input the sharing information combination into the target macro model to obtain the sharing title and sharing summary information corresponding to the sharing link template;

[0047] Update the sharing link template based on the sharing title and the sharing summary information to obtain a target sharing link;

[0048] The target sharing link is transmitted to the sharing object.

[0049] Optionally, the step of inputting the sharing information combination into the target macro model to obtain the sharing title and sharing summary information corresponding to the sharing link template includes:

[0050] Inputting the shared information combination into the target macro model to obtain combined viewpoint information corresponding to the shared information combination;

[0051] Inputting the combined opinion information into the target macro model to obtain opinion summary information, and generating sharing summary information based on the opinion summary information;

[0052] The viewpoint summary information is semantically abbreviated using the target macro model to obtain a sharing title.

[0053] Optionally, after the step of transmitting the shared content to the sharing object based on the sharing method, the method further includes:

[0054] Receive modification information fed back by the sharing object;

[0055] Inputting the modification information into the target macro model to generate sharing annotation information of the shared content;

[0056] Performing semantic understanding on the shared annotation information based on the target macro model to obtain modification opinion information of the shared object;

[0057] According to the modification opinion information and the target macro model, statistics are collected to understand the similarities and differences in the opinions of the sharing objects;

[0058] Revision text information is generated and displayed based on the modification opinion information and the opinion difference information.

[0059] Optionally, the step of generating and displaying revised text information based on the modification opinion information and the opinion difference information includes:

[0060] Inputting the information on similarities and differences in viewpoints and shared content into the target macro model for discussion and analysis to obtain discussion summary information;

[0061] Correcting the modification opinion information based on the discussion summary information to obtain retention opinion information and deletion opinion information;

[0062] Generate deletion reason annotation information according to the deletion opinion information;

[0063] The shared content, the reservation opinion information and the deletion reason annotation information are sorted through the target big model to generate and display revised text information.

[0064] In addition, to achieve the above-mentioned purpose, the present application also proposes an information sharing device, which includes:

[0065] a sharing setting module, configured to respond to an information sharing instruction triggered in the large model information interaction interface, determine a corresponding sharing object and sharing method from the information sharing instruction, and determine the sharing content corresponding to the information sharing instruction based on the information sharing instruction;

[0066] The content sharing module is used to transmit the shared content to the sharing object based on the sharing method.

[0067] In addition, to achieve the above-mentioned purpose, the present application also proposes an information sharing device, which 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 information sharing method described above.

[0068] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium. A computer program is stored on the storage medium, and when the computer program is executed by the processor, the steps of the information sharing method described above are implemented.

[0069] 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 information sharing method described above.

[0070] One or more technical solutions proposed in this application have at least the following technical effects:

[0071] This application responds to an information sharing instruction triggered in the large model information interaction interface, determines the corresponding sharing object and sharing method from the information sharing instruction, and determines the sharing content corresponding to the information sharing instruction based on the information sharing instruction; and transmits the shared content to the sharing object based on the sharing method. In this way, it is possible to configure sharing based on the information sharing instruction triggered by the user through the large model information interaction interface, and then share in a specific sharing method based on the information sharing instruction, thereby improving the efficiency and convenience of content sharing, and allowing analysis and sharing based on the large model, thereby improving the flexibility of sharing content. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] 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.

[0073] 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.

[0074] Figure 1 A flowchart of the first embodiment of the information sharing method of this application is provided;

[0075] Figure 2 A brief schematic diagram of the large model information interaction interface in an embodiment of the information sharing method of this application;

[0076] Figure 3 A flowchart of Example 2 of the information sharing method of this application is provided;

[0077] Figure 4 This is a schematic diagram of the module structure of the information sharing device according to an embodiment of the present application;

[0078] Figure 5 This is a schematic diagram of the device structure of the hardware operating environment involved in the information sharing method in the embodiment of the present application.

[0079] 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

[0080] 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.

[0081] 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.

[0082] The main solution of the embodiment of the present application is: in response to the information sharing instruction triggered in the large model information interaction interface, determine the corresponding sharing object and sharing method from the information sharing instruction, and determine the sharing content corresponding to the information sharing instruction based on the information sharing instruction; and transmit the sharing content to the sharing object based on the sharing method.

[0083] In this embodiment, for ease of description, the following description is made with the intelligent terminal that identifies and displays the large model information interaction interface as the execution subject.

[0084] As existing technologies have been widely used in large models today, the use and interaction of large models have become popular among ordinary users. Ordinary users can interact with large models and acquire knowledge at any time using smartphones or computers. However, in this process, it is sometimes necessary to share the interaction records between the current user and the large model with other users, which inevitably leads to device compatibility issues or display compatibility issues, resulting in poor user sharing and viewing experience.

[0085] This application provides a solution, through which the configuration of sharing is realized based on the information sharing instructions triggered by the user through the large model information interaction interface, and then sharing is performed in a specific sharing method according to the information sharing instructions, thereby improving the efficiency and convenience of content sharing, and can be analyzed and shared based on the large model, thereby improving the flexibility of sharing content.

[0086] 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 uses a smartphone or computer as an example to illustrate this embodiment and the following embodiments.

[0087] Based on this, the embodiment of the present application provides an information sharing method, referring to Figure 1 , Figure 1 This is a flowchart of the first embodiment of the information sharing method of this application.

[0088] In this embodiment, the information sharing method includes steps S10 to S20:

[0089] Step S10, in response to an information sharing instruction triggered in the large model information interaction interface, determining a corresponding sharing object and sharing method from the information sharing instruction, and determining sharing content corresponding to the information sharing instruction based on the information sharing instruction;

[0090] It should be noted that the large model information interaction interface refers to the interactive interface displayed in the display area of ​​the smart terminal, which can be a conversation record between the user and the large model, or the processing results and feedback information of the large model processing problem. The large model included in the large model information interaction interface can be any large model, and this embodiment does not limit this. Figure 2 The figure shows a schematic diagram of the large model information interaction interface. In discussion group A, the current user and at least one large model can be included. After the user asks a question, each large model provides feedback, thus forming a conversation record of the discussion group. Then, when choosing to share, the sharing method and sharing object can be selected in the function selection area of ​​the sharing function.

[0091] It should be understood that the information sharing instruction is a command triggered directly by the user in the large model information interaction interface, which can be a click of a share button or a voice command. The large model information interaction interface can be an interface in an app, a web browser page, or other display interface, which is not limited in this embodiment.

[0092] In specific implementations, upon receiving an information sharing instruction, the system first extracts information from the instruction, determines the user-specified sharing targets and sharing methods, and finally organizes the content to obtain the shared content. The sharing targets include, but are not limited to, the target user, discussion group, group chat, target AI, or target large model.

[0093] It should be noted that the large model information interaction interface includes all or at least one of the following: the instruction receiving area, conversation content information, discussion group information, and function selection information. Among them, the instruction receiving area refers to the area where the user clicks when triggering the information sharing instruction, including but not limited to the click area where the user selects the content to be shared, the click area where the user selects the sharing function, etc. The conversation content information includes the conversation record between the user and at least one large model. The discussion group information includes the name, members and other relevant information of the discussion group that the user chooses to share. The discussion group refers to the relevant information of the collective discussion group of the user and each large model. Function selection information refers to the relevant information of the user's choice of sharing, as well as the function selection of sharing objects and sharing methods.

[0094] It should be understood that the instruction receiving area corresponds to the sharing configuration information, the conversation content information includes the shared text information, and the platform information selected by the user for sharing in the function selection information.

[0095] In a feasible implementation, in order to accurately determine the sharing object, sharing method and sharing content determined by the user, step S10 includes: determining the conversation content information, discussion group information and function selection information from the information sharing instruction; determining the sharing object and sharing method based on the information sharing instruction, the function selection information and the discussion group information; determining the sharing content according to the information sharing instruction and the conversation content information.

[0096] In a specific implementation, first determine the conversation content information, discussion group information and function selection information from the information sharing instruction, that is, determine the content from the discussion group where the user triggers the information sharing instruction. Then determine the sharing object and sharing method selected by the user based on the function selection information and discussion group information. Among them, the sharing object can be an account logged in by another user, or it can be another terminal, or any other object, and this embodiment does not limit this. The sharing method can be to send files directly, or to generate a sharing link and send it. Specifically, the sharing method can be different according to the platform and APP of the sharing object. For example, if the sharing object is on platform A and platform B, the file packaging and sending method can be adopted. If the sharing object is on platform C, the web page display method can be adopted for sharing, etc. Each sharing method can correspond to a different platform or APP.

[0097] It should be noted that the final shared content can be obtained by summarizing and organizing the conversation content information.

[0098] In a feasible implementation, in order to accurately determine the shared content, the step of determining the shared content based on the information sharing instruction and the conversation content information includes: determining a conversation text list based on the conversation content information; determining text entry information based on the conversation text list; determining user selection information based on the information sharing instruction, and selecting a shared text entry from the text entry information based on the user selection information; and determining the shared content based on the shared text entry and the target macro model.

[0099] It should be understood that a conversation text list is first determined based on the conversation content information, that is, all conversation text records are listed and organized according to speaker and time information. After the conversation text list is determined, text item information is determined based on the conversation text list, that is, the conversation text is organized according to text items, thereby determining the text item information. For example, the conversation content information is first organized into text items to obtain a number of texts, words, paragraphs, and other information, and then listed to obtain a conversation text list with several lines. Then, based on the text information in the conversation text list, item organization is performed to obtain a number of text items, that is, the text is categorized by paragraph, resulting in multiple text items.

[0100] In a specific implementation, the user selection information is determined based on the information sharing instruction, that is, the selection range of the user-selected conversation text items and other related information are determined. Finally, based on the user selection information, the text items to be shared are determined from the text item information, and the shared text items are input into the target macro model to determine the shared content. The selection range of the user-selected conversation text items can be text within a specified fixed time period, such as conversation texts from 7:00-8:00, or text selected by item number, such as text between 45-81.

[0101] In a feasible implementation, in order to determine the shared content based on the target macro model, the step of determining the shared content according to the information sharing instruction and the conversation content information includes: inputting the shared text entry into the target macro model for semantic understanding to obtain sharing outline information; organizing and modifying the shared text entry according to the sharing outline information to obtain the shared content.

[0102] It should be noted that by directly inputting the shared text items into the target large model for processing, the target large model can output the shared outline information after performing semantic understanding. The target large model can be any large model that has been trained to perform semantic understanding and analysis, and this embodiment does not limit this. The target large model performs semantic analysis and understanding on each text in the shared text item, thereby determining the outline and content outline obtained by semantic extraction of all texts, and organizing the shared outline information.

[0103] It should be understood that after obtaining the sharing outline information, the sharing text items are sorted and modified based on the sharing outline information, that is, the text is adjusted based on semantics to make it easier to read and understand, and the final sharing content is obtained.

[0104] In a feasible implementation, in order to accurately organize and modify, the shared text items are organized and modified according to the sharing outline information, and the steps of obtaining the shared content include: determining the redundant information in the large model answer information in the shared text item according to the sharing outline information; filtering the shared text item based on the redundant information to obtain filtered shared text; semantically refining the filtered shared text through the target large model, deleting duplicate text, and obtaining the shared content.

[0105] In the specific implementation, the redundant information in the text entries answered and output by the large model in the shared text entries is first determined based on the sharing outline information. Redundant information refers to text entries that are redundant, repetitive, and have incorrect semantics. Among them, redundant information can be repeated questions raised by users or questions with the same semantics, or information such as repeated answers of the large model caused by network fluctuations, or words and sentences without clear meanings raised by users, such as modal particles, erroneous input caused by incorrect operations, etc.

[0106] It should be noted that after obtaining redundant information, the shared text entries are filtered based on the redundant information, and the redundant information in the shared text entries is filtered and deleted to obtain the filtered text for sharing. The filtered shared text is then semantically refined through the target large model, that is, the text is abbreviated and the terms are refined, and duplicate text is deleted to obtain the final shared content.

[0107] Step S20: transmitting the shared content to the sharing object based on the sharing method.

[0108] It should be understood that after obtaining the shared content, the shared content is further processed through the sharing method, such as summarizing and grouping, and then the shared content adapted to the sharing method is obtained, and then transmitted to the device or APP of the sharing object for display.

[0109] In a feasible implementation, in order to provide the current user with real-time feedback on the opinions and comments of the sharing object on the shared content after sharing, after step S20, it also includes: receiving the modification information fed back by the sharing object; inputting the modification information into the target macro model to generate sharing annotation information of the shared content; performing semantic understanding of the sharing annotation information based on the target macro model to obtain the modification opinion information of the sharing object; counting and understanding the differences and similarities of the opinions of the sharing object based on the modification opinion information and the target macro model; generating and displaying revised text information based on the modification opinion information and the differences and similarities of the opinions.

[0110] In a specific implementation, after sharing, the recipient receives modification information feedback, which can be input into the target macro model to determine the recipient's modification opinions on the shared content or their evaluation of certain texts, thereby generating shared annotation information. The target macro model then semantically understands and summarizes the shared annotation information to determine the recipient's overall modification opinions on the shared content. After obtaining the modification opinion information, the modification opinion information is combined with the target macro model to perform opinion statistics and similarities and differences analysis, determining the parts where the recipient's opinions on the shared content are the same and the parts where there are differences, which are organized into opinion similarities and differences information. After the recipient makes modifications, modification information is returned. The modification information can be text modifications or evaluations, such as modifications to words, paragraphs, formatting, etc., or evaluations and annotations on paragraph A. The modification information is then directly input into the target macro model for processing to generate shared annotation information. Opinion similarities and differences information includes the same or different opinions of the recipient and the shared content. For example, if the recipient and the shared content both agree on opinion A and oppose opinion B, but the shared content agrees on opinion C, while the recipient opposes opinion C, this constitutes opinion similarities and differences information.

[0111] It should be noted that after obtaining the information on differences and similarities in opinions, combined with the modification opinion information, revised text information can be generated and then displayed to the current user.

[0112] In a feasible implementation, in order to accurately generate revised text information, the steps of generating and displaying revised text information based on the modification opinion information and the opinion difference information include: inputting the opinion difference information and the shared content into the target macro model for discussion and analysis to obtain discussion summary information; revising the modification opinion information based on the discussion summary information to obtain reservation opinion information and deletion opinion information; generating deletion reason annotation information based on the deletion opinion information; and organizing the shared content, the reservation opinion information and the deletion reason annotation information through the target macro model to generate and display revised text information.

[0113] It should be understood that the information on differences and similarities in opinions is first input into the target macro model for discussion and analysis in combination with the shared content. The summary information obtained by the target macro model after thinking and analyzing the opinions of the sharing object and the shared content can then be obtained. The modification opinion information is then revised based on the discussion summary information to determine the reserved opinions and opinions that need to be deleted under the viewpoint of the target macro model. An annotation of the deletion reason is then generated based on the deleted opinion information for the current user to think and analyze. Finally, the shared content, reserved opinion information, and deletion reason annotation information are sorted and laid out through the target macro model to obtain the final revised text information. For example: After analyzing the information on differences and similarities in opinions, the target macro model identifies three different parts of opinion: opinion A, opinion B, and opinion C, and conducts in-depth thinking and analysis to determine that opinion A and opinion B are correct opinions for the sharing object, while opinion C is an incorrect analysis of the sharing object. At this time, opinion A and opinion B are regarded as reserved opinions, while opinion C is regarded as an opinion that needs to be deleted, and the deletion reason annotation information corresponding to opinion C is generated.

[0114] This embodiment provides an information sharing method that, in response to an information sharing instruction triggered in a large model information interaction interface, determines the corresponding sharing object and sharing method from the information sharing instruction, determines the sharing content corresponding to the information sharing instruction based on the information sharing instruction, and transmits the shared content to the sharing object based on the sharing method. In this way, sharing is configured based on the information sharing instruction triggered by the user through the large model information interaction interface, and then sharing is performed in a specific sharing method based on the information sharing instruction, thereby improving the efficiency and convenience of content sharing. It also allows for analysis and sharing based on the large model, increasing the flexibility of shared content.

[0115] 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 3 , step S20 includes steps S201 to S202:

[0116] Step S201, grouping the shared content based on the sharing object to obtain multiple topic sharing information;

[0117] It should be noted that, by first grouping the shared content based on the sharing object, multiple topic sharing information can be obtained. The specific grouping basis is based on the topic of the answer. For example: if the current user asks a question to each big model, and then each big model answers, the answer plus the question is shared as a topic information, that is, the answer of the big model and the question raised by the user are grouped as a group to obtain topic sharing information.

[0118] Step S202: transmitting the subject sharing information to the sharing object based on the sharing method.

[0119] It should be understood that after the subject sharing information is obtained, the subject sharing information is processed through a sharing method and then transmitted to the device of the sharing object.

[0120] In a feasible implementation, in order to further process the subject sharing information before sharing, step S202 includes: converting the subject sharing information into at least one sharing information combination based on the sharing method; and transmitting each sharing information combination to the sharing object based on the sharing method.

[0121] In specific implementations, thematic sharing information is first converted into at least one shared information combination based on the sharing method. Specifically, the categorized sharing information is packaged. Specifically, the package can be based on the question plus the answer, and then combined with the summary of the large model to form a unified shared information combination. For example, based on the sharing method, user question A and its corresponding answer A are packaged into a single shared information combination.

[0122] It should be noted that after obtaining the shared information combination, the shared information combination is transmitted to the device of the sharing target through the established sharing method.

[0123] It should be understood that the shared information combination in this embodiment includes topic text sharing information, as well as at least one of macro model summary information and user evaluation information. The macro model summary information is information obtained by the macro model analyzing and summarizing the response texts of each macro model. The user evaluation information is the user's assessment of the effectiveness and satisfaction of each macro model's response in this round. It can be the evaluation of the current user or the feedback of the sharing object.

[0124] In a feasible implementation, in order to accurately obtain multiple sharing information combinations, the step of converting the subject sharing information into at least one sharing information combination based on the sharing method includes: determining multiple question topics based on the subject sharing information, and dividing the subject sharing information into multiple subject text sharing information based on the question topics; calling the target big model in the big model information interaction interface to summarize each subject text sharing information to obtain big model summary information; collecting user evaluation information based on each subject text sharing information; and obtaining a sharing information combination based on the subject text sharing information, the big model summary information and the user evaluation information.

[0125] In specific implementations, multiple question topics of user questions are first determined based on the topic sharing information. It should be noted that question topics correspond one-to-one with topic sharing information, that is, each topic sharing information corresponds to a question topic, for example, topic sharing information A corresponds to question topic B, and topic sharing information C corresponds to question topic D. Then, based on the question topic, all topic sharing information is reclassified into multiple topic text sharing information. The text corresponding to a question topic is integrated and duplicate parts are deleted.

[0126] It should be noted that after obtaining the topic text sharing information, the target big model corresponding to the big model information interaction page is called to summarize the topic text sharing information, and the big model summary information can be obtained, wherein each topic text sharing information corresponds to at least one summary, for example, topic text sharing information A can correspond to summary A, summary B and summary C, and topic text sharing information D corresponds to summary D.

[0127] It should be understood that after obtaining the large model summary information, we continue to collect user evaluation information based on the topic sharing text, and then classify and summarize the topic text sharing information, large model summary information and user evaluation information to obtain the final sharing information combination.

[0128] In a feasible implementation, in order to collect more comprehensive user evaluation information, the step of collecting user evaluation information based on the sharing information of each topic text includes: triggering an answer feedback window through the large model information interaction interface based on the sharing information of each topic text; collecting the user evaluation text feedback in the answer feedback window, and determining the user evaluation information corresponding to the sharing information of each topic text based on the user evaluation text.

[0129] In the specific implementation, an answer feedback window is first generated based on the topic text sharing information, and the answer feedback window is displayed to the user through the large model information interaction page, so that the user's evaluation and feedback of the large model answer and the shared content summary can be collected through the answer feedback window, or the user's evaluation, comments, prompts and other information on the shared content can be collected, and then sent to the sharing object together with the shared content for the sharing object to browse and read.

[0130] In a feasible implementation, in order to transmit and share information based on different sharing methods, step S202 includes: generating a sharing link template according to the sharing method; inputting the sharing information combination into the target macro model to obtain the sharing title and sharing summary information corresponding to the sharing link template; updating the sharing link template based on the sharing title and the sharing summary information to obtain the target sharing link; and transmitting the target sharing link to the sharing object.

[0131] It should be noted that first, a sharing link template is generated based on the sharing method. The sharing link template is different based on the different sharing methods. For example, when sharing in the form of a file, it corresponds to sharing link template A, and when sharing in the form of a web page, it corresponds to sharing link template B. Then, the sharing information combination is input into the target large model, and the sharing title and sharing summary information summarized by the sharing information combination matching the sharing link template can be determined. That is, the title and summary of the sharing are first obtained according to the sharing information combination, and then the generated title and summary are adjusted and updated according to the sharing link template to obtain the sharing title and sharing summary information corresponding to the sharing link template. Since the sharing link templates corresponding to different sharing methods can display different content, word count or area size in the title and summary display area, for example, when sharing on social software A, only 10 words of the title and 20 words of the summary can be displayed in the link. When sharing on social software B, the link can display 15 words of the title and 30 words of the summary. Therefore, the number of words in the title and summary should be adjusted according to the different sharing link templates, specifically by abbreviations or expansions.

[0132] It should be understood that the sharing title and sharing summary information are finally updated to the sharing link template to generate the final sharing link, and then the target sharing link is directly sent to the device or account of the sharing object.

[0133] In a feasible implementation, in order to accurately generate a title and summary corresponding to a sharing link template, the sharing information combination is input into a target macro model, and the steps of obtaining the sharing title and sharing summary information corresponding to the sharing link template include: inputting the sharing information combination into the target macro model to obtain the combined viewpoint information corresponding to the sharing information combination; inputting the combined viewpoint information into the target macro model to obtain viewpoint summary information, and generating sharing summary information based on the viewpoint summary information; and semantically abbreviating the viewpoint summary information through the target macro model to obtain a sharing title.

[0134] In the specific implementation, the shared information combination is first input into the target big model, and the opinion information of each combination corresponding to the shared information combination can be obtained, that is, the big model is used to summarize and obtain the opinions corresponding to each shared information combination, and then the opinions are summarized through the target big model to obtain the corresponding summaries of all shared contents, and finally the opinion summary information is semantically abbreviated to obtain the sharing title.

[0135] This embodiment groups the shared content based on the sharing objects to obtain multiple theme sharing information; and transmits the theme sharing information to the sharing objects based on the sharing method. In this way, the shared content is grouped based on themes and then transmitted and shared, allowing the sharing objects to read the shared content more clearly and improve the understanding experience of the shared content for the shared objects.

[0136] It should be noted that the above examples are only used to understand this application and do not constitute a limitation on the information sharing method of this application. More simple transformations based on this technical concept are all within the scope of protection of this application.

[0137] This application also provides an information sharing device, please refer to Figure 4 , the information sharing device includes:

[0138] The sharing setting module 10 is used to respond to the information sharing instruction triggered in the large model information interaction interface, determine the corresponding sharing object and sharing method from the information sharing instruction, and determine the sharing content corresponding to the information sharing instruction based on the information sharing instruction.

[0139] The content sharing module 20 is configured to transmit the shared content to the sharing object based on the sharing method.

[0140] The solution of this embodiment responds to an information sharing instruction triggered in the large model information interaction interface, determines the corresponding sharing object and sharing method from the information sharing instruction, and determines the sharing content corresponding to the information sharing instruction based on the information sharing instruction; and transmits the shared content to the sharing object based on the sharing method. In this way, it is possible to configure sharing based on the information sharing instruction triggered by the user through the large model information interaction interface, and then share in a specific sharing method based on the information sharing instruction, thereby improving the efficiency and convenience of content sharing. It also allows for analysis and sharing based on the large model, increasing the flexibility of sharing content.

[0141] In one embodiment, the sharing setting module 10 is also used to determine the conversation content information, discussion group information and function selection information from the information sharing instruction; determine the sharing object and sharing method based on the information sharing instruction, the function selection information and the discussion group information; and determine the sharing content based on the information sharing instruction and the conversation content information.

[0142] In one embodiment, the sharing setting module 10 is also used to determine a conversation text list based on the conversation content information; determine text entry information based on the conversation text list; determine user selection information based on the information sharing instruction, and select a sharing text entry from the text entry information based on the user selection information; and determine the sharing content based on the sharing text entry and the target macro model.

[0143] In one embodiment, the sharing setting module 10 is further used to input the sharing text items into the target macro model for semantic understanding to obtain sharing outline information; and to organize and modify the sharing text items according to the sharing outline information to obtain sharing content.

[0144] In one embodiment, the sharing setting module 10 is also used to determine the redundant information in the large model answer information in the shared text item based on the sharing outline information; filter the shared text item based on the redundant information to obtain filtered shared text; semantically refine the filtered shared text through the target large model, delete duplicate text, and obtain shared content.

[0145] In one embodiment, the content sharing module 20 is further configured to group the shared content into groups based on the sharing objects to obtain a plurality of theme sharing information; and transmit the theme sharing information to the sharing objects based on the sharing method.

[0146] In one embodiment, the content sharing module 20 is further configured to convert the subject sharing information into at least one sharing information combination based on the sharing method; and transmit each sharing information combination to a sharing object based on the sharing method.

[0147] In one embodiment, the content sharing module 20 is also used to determine multiple question topics based on the topic sharing information, and divide the topic sharing information into multiple topic text sharing information based on the question topics; call the target big model in the big model information interaction interface to summarize the topic text sharing information to obtain big model summary information; collect user evaluation information based on the topic text sharing information; and obtain a sharing information combination based on the topic text sharing information, the big model summary information and the user evaluation information.

[0148] In one embodiment, the content sharing module 20 is also used to trigger an answer feedback window through the large model information interaction interface based on the sharing information of each topic text; collect the user evaluation text feedback in the answer feedback window, and determine the user evaluation information corresponding to the sharing information of each topic text based on the user evaluation text.

[0149] In one embodiment, the content sharing module 20 is further used to generate a sharing link template according to the sharing method; input the sharing information combination into the target macro model to obtain the sharing title and sharing summary information corresponding to the sharing link template; update the sharing link template based on the sharing title and the sharing summary information to obtain the target sharing link; and transmit the target sharing link to the sharing object.

[0150] In one embodiment, the content sharing module 20 is further used to input the sharing information combination into the target macro model to obtain the combined viewpoint information corresponding to the sharing information combination; input the combined viewpoint information into the target macro model to obtain viewpoint summary information, and generate sharing summary information based on the viewpoint summary information; and semantically abbreviate the viewpoint summary information through the target macro model to obtain a sharing title.

[0151] In one embodiment, the content sharing module 20 is further used to receive modification information fed back by the sharing object; input the modification information into the target macro model to generate sharing annotation information of the shared content; perform semantic understanding of the sharing annotation information based on the target macro model to obtain the modification opinion information of the sharing object; count and understand the differences and similarities of the opinions of the sharing object based on the modification opinion information and the target macro model; generate and display revised text information based on the modification opinion information and the differences and similarities of the opinions.

[0152] In one embodiment, the content sharing module 20 is also used to input the information on differences and similarities in opinions and the shared content into the target macro model for discussion and analysis to obtain discussion summary information; to revise the modification opinion information based on the discussion summary information to obtain reservation opinion information and deletion opinion information; to generate deletion reason annotation information based on the deletion opinion information; and to organize the shared content, the reservation opinion information and the deletion reason annotation information through the target macro model to generate and display revised text information.

[0153] The information sharing device provided in this application, using the information sharing method described in the above-mentioned embodiments, can resolve the technical issues of incompatibility and inconvenience in sharing interactive information with large models. Compared to the prior art, the information sharing device provided in this application has the same beneficial effects as the information sharing method described in the above-mentioned embodiments. Other technical features of the information sharing device are the same as those disclosed in the above-mentioned embodiments and are not further elaborated here.

[0154] The present application provides an information sharing 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 information sharing method in the above-mentioned embodiment one.

[0155] Reference below Figure 5 , which shows a schematic diagram of the structure of an information sharing device suitable for implementing the embodiments of the present application. The information sharing 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 information sharing device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0156] like Figure 5 As shown, the information sharing device may include a processing device 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes based on programs stored in ROM (Read Only Memory) 1002 or programs loaded from storage device 1003 into RAM (Random Access Memory) 1004. RAM 1004 also stores various programs and data required for the operation of the information sharing device. Processing device 1001, ROM 1002, and RAM 1004 are interconnected via bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input device 1007 including, for example, a touch screen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output device 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage device 1003 including, for example, a magnetic tape, hard disk, etc.; and communication device 1009. The communication device 1009 can allow the information sharing device to communicate with other devices wirelessly or wired to exchange data. Although the figure shows an information sharing device with various systems, it should be understood that it is not required to implement or have all of the systems shown. More or fewer systems can be implemented or have alternatively.

[0157] 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.

[0158] The information sharing device provided in this application utilizes the information sharing method described in the above-mentioned embodiments to address the technical issues of incompatibility and inconvenience in sharing interactive information with large models. Compared to the prior art, the information sharing device provided in this application achieves the same beneficial effects as the information sharing method described in the above-mentioned embodiments. Other technical features of the information sharing device are the same as those disclosed in the above-mentioned embodiments and are not further elaborated here.

[0159] 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.

[0160] 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.

[0161] 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 information sharing method in the above-mentioned embodiment.

[0162] 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.

[0163] The computer-readable storage medium may be included in the information sharing device, or may exist independently without being incorporated into the information sharing device.

[0164] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the information sharing device, the information sharing device: responds to the information sharing instruction triggered in the large model information interaction interface, determines the corresponding sharing object and sharing method from the information sharing instruction, and determines the sharing content corresponding to the information sharing instruction based on the information sharing instruction; and transmits the sharing content to the sharing object based on the sharing method.

[0165] 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).

[0166] 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.

[0167] 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.

[0168] 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 above-described information sharing method. This computer-readable storage medium can address the technical issues of incompatibility and inconvenience in sharing interactive information with large models. 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 information sharing method provided in the above-described embodiments, and are not further elaborated here.

[0169] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned information sharing method when executed by a processor.

[0170] The computer program product provided in this application can solve the technical problem of insufficient compatibility and convenience in sharing interactive information with large models. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the information sharing method provided in the above embodiment, and will not be repeated here.

[0171] 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.

[0172] The present invention discloses A1. an information sharing method, the method comprising:

[0173] In response to an information sharing instruction triggered in the large model information interaction interface, determining a corresponding sharing object and sharing method from the information sharing instruction, and determining sharing content corresponding to the information sharing instruction based on the information sharing instruction;

[0174] The shared content is transmitted to the sharing object based on the sharing method.

[0175] A2. The method described in A1, wherein the large model information interaction interface includes at least one of the following:

[0176] The information sharing instruction includes an instruction receiving area, conversation content information, discussion group information, and function selection information.

[0177] A3. The method according to A2, wherein the information sharing instruction includes at least one of the following:

[0178] The sharing configuration information corresponding to the instruction receiving area, the sharing text information corresponding to the conversation content information, and the sharing platform information corresponding to the function selection information.

[0179] A4. The method according to A3, wherein the steps of determining the corresponding sharing object and sharing method from the information sharing instruction, and determining the sharing content corresponding to the information sharing instruction based on the information sharing instruction include:

[0180] Determining conversation content information, discussion group information, and function selection information from the information sharing instruction;

[0181] Determine a sharing object and a sharing method based on the information sharing instruction, the function selection information, and the discussion group information;

[0182] The shared content is determined according to the information sharing instruction and the conversation content information.

[0183] A5. The method as described in A4, wherein the step of determining the shared content based on the information sharing instruction and the conversation content information includes:

[0184] Determining a conversation text list based on the conversation content information;

[0185] Determining text entry information according to the conversation text list;

[0186] determining user selection information according to the information sharing instruction, and selecting a shared text item from the text item information based on the user selection information;

[0187] The shared content is determined based on the shared text item and the target macro model.

[0188] A6. The method as described in A5, wherein the step of determining the shared content based on the information sharing instruction and the conversation content information includes:

[0189] Input the shared text item into the target macro model for semantic understanding to obtain sharing outline information;

[0190] The shared text items are sorted and modified according to the sharing outline information to obtain shared content.

[0191] A7. As described in the method of A6, the step of organizing and modifying the shared text items according to the sharing outline information to obtain the shared content includes:

[0192] Determining redundant information in the large model answer information in the shared text entry according to the sharing outline information;

[0193] Filtering the shared text items based on the redundant information to obtain filtered shared text;

[0194] The filtered shared text is semantically refined using the target macro model, and duplicate text is deleted to obtain shared content.

[0195] A8. The method according to any one of A1-A7, wherein the step of transmitting the shared content to the sharing object based on the sharing method includes:

[0196] Based on the sharing objects, the shared content is grouped to obtain multiple topic sharing information;

[0197] The subject sharing information is transmitted to the sharing object based on the sharing method.

[0198] A9. The method according to A8, wherein the step of transmitting the subject sharing information to the sharing object based on the sharing method includes:

[0199] Converting the subject sharing information into at least one sharing information combination based on the sharing method;

[0200] Based on the sharing method, each sharing information combination is transmitted to the sharing object.

[0201] A10. The method according to A9, wherein the combination based on the shared information includes at least one of the following:

[0202] Topic text sharing information, large model summary information and user evaluation information.

[0203] A11. The method according to A10, wherein the step of converting the subject sharing information into at least one sharing information combination based on the sharing method comprises:

[0204] Determining a plurality of question topics according to the topic sharing information, and dividing the topic sharing information into a plurality of topic text sharing information based on the question topics;

[0205] Calling the target big model in the big model information interaction interface to summarize the shared information of each subject text to obtain big model summary information;

[0206] Collect user evaluation information based on text sharing information on each topic;

[0207] A sharing information combination is obtained based on the subject text sharing information, the large model summary information and the user evaluation information.

[0208] A12. The method as described in A11, wherein the step of collecting user evaluation information based on the shared information of each topic text comprises:

[0209] Based on the shared information of each topic text, a response feedback window is triggered through the large model information interaction interface;

[0210] The user evaluation text fed back in the answer feedback window is collected, and the user evaluation information corresponding to each topic text sharing information is determined based on the user evaluation text.

[0211] A13. The method according to A9, wherein the step of transmitting each sharing information combination to the sharing object based on the sharing method includes:

[0212] Generate a sharing link template according to the sharing method;

[0213] Input the sharing information combination into the target macro model to obtain the sharing title and sharing summary information corresponding to the sharing link template;

[0214] Update the sharing link template based on the sharing title and the sharing summary information to obtain a target sharing link;

[0215] The target sharing link is transmitted to the sharing object.

[0216] A14. The method of A13, wherein the step of inputting the sharing information combination into the target macro model to obtain the sharing title and sharing summary information corresponding to the sharing link template includes:

[0217] Inputting the shared information combination into the target macro model to obtain combined viewpoint information corresponding to the shared information combination;

[0218] Inputting the combined opinion information into the target macro model to obtain opinion summary information, and generating sharing summary information based on the opinion summary information;

[0219] The viewpoint summary information is semantically abbreviated using the target macro model to obtain a sharing title.

[0220] A15. The method according to A1, further comprising:

[0221] Receive modification information fed back by the sharing object;

[0222] Inputting the modification information into the target macro model to generate sharing annotation information of the shared content;

[0223] Performing semantic understanding on the shared annotation information based on the target macro model to obtain modification opinion information of the shared object;

[0224] According to the modification opinion information and the target macro model, statistics are collected to understand the similarities and differences in the opinions of the sharing objects;

[0225] Revision text information is generated and displayed based on the modification opinion information and the opinion difference information.

[0226] A16. The method according to A15, wherein the step of generating and displaying revised text information based on the modification opinion information and the opinion difference information includes:

[0227] Inputting the information on similarities and differences in viewpoints and shared content into the target macro model for discussion and analysis to obtain discussion summary information;

[0228] Modifying the modification opinion information based on the discussion summary information to obtain retention opinion information and deletion opinion information;

[0229] Generate deletion reason annotation information based on the deletion opinion information;

[0230] The shared content, the reservation opinion information and the deletion reason annotation information are sorted through the target big model to generate and display revised text information.

[0231] The present invention also discloses B17. an information sharing device, comprising:

[0232] a sharing setting module, configured to respond to an information sharing instruction triggered in the large model information interaction interface, determine a corresponding sharing object and sharing method from the information sharing instruction, and determine the sharing content corresponding to the information sharing instruction based on the information sharing instruction;

[0233] The content sharing module is used to transmit the shared content to the sharing object based on the sharing method.

[0234] The present invention also discloses C18. An information sharing device, which 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 information sharing method described above.

[0235] The present invention also discloses D19. A storage medium, which is a computer-readable storage medium. A computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the information sharing method described above are implemented.

[0236] 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, it implements the steps of the above-mentioned information sharing method.

Claims

1. An information sharing method, characterized in that: The method includes: In response to an information sharing instruction triggered in the large model information interaction interface, determining a corresponding sharing object and sharing method from the information sharing instruction, and determining sharing content corresponding to the information sharing instruction based on the information sharing instruction; The shared content is transmitted to the sharing object based on the sharing method.

2. The method according to claim 1, wherein The large model information interaction interface includes at least one of the following: The information sharing instruction includes an instruction receiving area, conversation content information, discussion group information, and function selection information.

3. The method according to claim 2, wherein The information sharing instruction includes at least one of the following: The sharing configuration information corresponding to the instruction receiving area, the sharing text information corresponding to the conversation content information, and the sharing platform information corresponding to the function selection information.

4. The method according to claim 3, wherein The steps of determining the corresponding sharing object and sharing method from the information sharing instruction, and determining the sharing content corresponding to the information sharing instruction based on the information sharing instruction include: Determining conversation content information, discussion group information, and function selection information from the information sharing instruction; Determine a sharing object and a sharing method based on the information sharing instruction, the function selection information, and the discussion group information; The shared content is determined according to the information sharing instruction and the conversation content information.

5. The method according to claim 4, wherein The step of determining the sharing content according to the information sharing instruction and the conversation content information includes: Determining a conversation text list based on the conversation content information; Determining text entry information according to the conversation text list; determining user selection information according to the information sharing instruction, and selecting a shared text item from the text item information based on the user selection information; The shared content is determined based on the shared text item and the target macro model.

6. The method according to claim 5, wherein The step of determining the sharing content according to the information sharing instruction and the conversation content information includes: Input the shared text item into the target macro model for semantic understanding to obtain sharing outline information; The shared text items are sorted and modified according to the sharing outline information to obtain shared content.

7. An information sharing device, characterized in that: The device comprises: a sharing setting module, configured to respond to an information sharing instruction triggered in the large model information interaction interface, determine a corresponding sharing object and sharing method from the information sharing instruction, and determine the sharing content corresponding to the information sharing instruction based on the information sharing instruction; The content sharing module is used to transmit the shared content to the sharing object based on the sharing method.

8. An information sharing 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 information sharing 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 information sharing method according to any one of claims 1 to 6 are implemented.

10. A computer program product, characterized in that The computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the information sharing method according to any one of claims 1 to 6 are implemented.

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