Method and device for processing data authentication in dialogue process based on large model

Abstract

The invention provides a method and a device for processing data authentication in a dialogue process based on a large model. The method comprises the following steps: extracting an authentication demand from first user input data through the large model; wherein the authentication demand comprises equipment information and an authentication task; determining a first authentication object according to the port information, and determining an authentication target according to the authentication demand; judging whether the first authentication object is matched with the authentication target or not; and under the condition that the first authentication object is matched with the authentication target, executing the authentication task. Compared with an existing customer service channel which does not have an authentication process and manual communication and problem processing, the method achieves the automation of an intelligent customer service problem processing process, carries out the authentication process before service, carries out the identity information, and carries out the service after the matching confirmation.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent customer service, and in particular, to a method and device for data authentication during a conversation process based on a large model. Background Art

[0002] Currently, in the application scenario of large model customer service, it has become a relatively optimal scenario for large model applications to land by feeding back problems in conversations and automatically processing them through intelligent customer service. During the process of intelligent customer service serving different customers, there will be multiple terminals such as WeChat, web pages, and mini-program terminals with demands for feedback and problem-solving. Different customers need to clearly know whether they can be processed, but the process cannot be too complicated. However, the existing intelligent customer service channels do not have an authentication process, and currently, manual communication and problem-solving are still required. That is to say, currently, intelligent customer service cannot automatically determine whether a user can be processed when facing demands from different user channels.

[0003] It is a technical and user experience difficulty to perform effective and simple authentication for different user channels. Summary of the Invention

[0004] The present invention provides a method and device for data authentication during a conversation process based on a large model, aiming to solve the defect that there is no authentication process in the existing service channels, and to achieve unified, effective, and simple authentication for different user channels.

[0005] The present invention provides a method for data authentication during a conversation process based on a large model, including the following steps: Extracting an authentication requirement from the first user input data through a large model; wherein, the authentication requirement includes device information and an authentication task; Determining a first authentication object according to the port information, and determining an authentication target according to the authentication requirement; Judging whether the first authentication object matches the authentication target; When the first authentication object matches the authentication target, executing the authentication task.

[0006] According to the method for data authentication during a conversation process based on a large model provided by the present invention, when the authentication requirement includes device information of multiple devices, determining the authentication target according to the authentication requirement includes: Determining the authentication target to which each device belongs according to the device information of each device; Judging whether the first authentication object matches the authentication target includes: Matching the authentication target of each device with the first authentication object; When the authentication target of one device matches the first authentication object, it is determined that the first authentication object matches the authentication target.

[0007] A method for data authentication during a conversation process based on a large model provided by the present invention, determining a first authentication object according to port information, includes: Determine the user port and user information according to the port information; When the user port is a personal port, determine the list of companies bound by the user according to the user information, and use at least one company in the company list as the first authentication object; When the user port is a group port, determine the group identifier according to the user information, and use the company bound by the group identifier as the first authentication object; When the user port is a web port, determine the user identifier according to the user information, and use the company bound by the user identifier as the first authentication object.

[0008] A method for data authentication during a conversation process based on a large model provided by the present invention, further includes: When the first authentication object does not match the authentication target, issue a prompt message to guide the user to input the authentication target; Match the authentication target information input by the user and the authentication target through the large model, and when the match is successful, execute the authentication task.

[0009] A method for data authentication during a conversation process based on a large model provided by the present invention, matching the authentication target information input by the user and the authentication target through the large model, includes: Extract the authentication target information from the second user input data through the large model; Determine a second authentication object through the large model according to the authentication target information and the company abbreviation list; wherein, the company abbreviation list refers to a list including the full company name and at least one company abbreviation; Match the second authentication object and the authentication target.

[0010] The present invention provides a device for data authentication during a conversation process based on a large model, including the following modules: A requirement extraction module, configured to extract authentication requirements from the first user input data through the large model; wherein, the authentication requirements include device information and an authentication task; A target determination module, configured to determine a first authentication object according to the port information and determine an authentication target according to the authentication requirements; A first target matching module, configured to determine whether the first authentication object matches the authentication target; A task execution module, configured to execute the authentication task when the first authentication object matches the authentication target.

[0011] According to an apparatus for data authentication during a conversation process based on a large model provided by the present invention, when the authentication requirement includes device information of multiple devices, a target determination module is configured to determine an authentication target to which a device belongs according to the device information of each device; A first target matching module is configured to match the authentication target of each device with a first authentication object; in the case where the authentication target of one device matches the first authentication object, it is determined that the first authentication object matches the authentication target.

[0012] According to an apparatus for data authentication during a conversation process based on a large model provided by the present invention, the target determination module includes: A port processing sub-module is configured to determine a user port and user information according to port information; in the case where the user port is a personal port, determine a company list bound by the user according to the user information, and use at least one company in the company list as the first authentication object; in the case where the user port is a group port, determine a group identifier according to the user information, and use the company bound by the group identifier as the first authentication object; In the case where the user port is a web port, determine a user identifier according to the user information, and use the company bound by the user identifier as the first authentication object.

[0013] According to an apparatus for data authentication during a conversation process based on a large model provided by the present invention, it further includes: A guidance input module is configured to, in the case where the first authentication object does not match the authentication target, issue a prompt message for guiding the user to input an authentication target; match the authentication target information input by the user and the authentication target through the large model, and execute an authentication task in the case of successful matching.

[0014] According to an apparatus for data authentication during a conversation process based on a large model provided by the present invention, the guidance input module includes: An abbreviation processing sub-module is configured to extract authentication target information from second user input data through the large model; determine a second authentication object according to the authentication target information and a company abbreviation list through the large model; wherein, the company abbreviation list refers to a list including company full names and at least one company abbreviation; match the second authentication object and the authentication target.

[0015] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the computer program, the method for data authentication during a conversation process based on a large model as described in any one of the above is implemented.

[0016] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the method for data authentication in the process of processing a conversation based on a large model as described in any one of the above.

[0017] The present invention also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the method for data authentication in the process of processing a conversation based on a large model as described in any one of the above.

[0018] The method and device for data authentication in the process of processing a conversation based on a large model provided by the present invention extract an authentication requirement from the first user input data through the large model; wherein, the authentication requirement includes device information and an authentication task; determine a first authentication object according to the port information, and determine an authentication target according to the authentication requirement; judge whether the first authentication object matches the authentication target; and execute the authentication task when the first authentication object matches the authentication target. Compared with the current customer service channel without an authentication process, where problems are communicated and processed manually, it realizes the automation of the process of processing problems in intelligent customer service, and there is an authentication process for identity information before service, and service is provided after matching and confirmation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0020] Figure 1 is a schematic flowchart of the method for data authentication in the process of processing a conversation based on a large model provided by the present invention.

[0021] Figure 2 is a schematic structural diagram of the device for data authentication in the process of processing a conversation based on a large model provided by the present invention.

[0022] Figure 3 is a schematic structural diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention with reference to the accompanying drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention belong to the scope of protection of the present invention.

[0024] The following will be combined withFigures 1-3 Describe the present invention.

[0025] The present invention executes an authentication process through an authentication robot created by a large model. In the process of intelligent customer service, an authentication mechanism is required to prevent information and task processing errors. Therefore, the concept of an authentication robot is introduced. Before the service, the authentication robot performs identity information matching, and after confirmation, the service is carried out.

[0026] Figure 1 It is a schematic flow diagram of a method for data authentication in the process of processing conversations based on a large model provided by the present invention. As Figure 1 shown, the method includes the following: Step 101: Extract authentication requirements from the first user input data through a large model; among them, the authentication requirements include device information and authentication tasks.

[0027] In the above step 101, the first user input data refers to the information input by the user regarding device processing on the intelligent customer service interface. Device information refers to the device number or other unique identification information. The authentication task is a task that needs to process the device. For example, if the user needs to process a vehicle under the company's name, the user inputs on the intelligent customer service interface: "Restart vehicle AXXX". The first user input data is: Restart vehicle AXXX; the device information is: AXXX; the authentication task is: Restart.

[0028] Step 102: Determine the first authentication object according to the port information, and determine the authentication target according to the authentication requirements.

[0029] In the above step 102, during the process of intelligent customer service serving different customers, there will be multiple terminals such as WeChat, web pages, and mini-program terminals for feedback and problem-solving requests. The port information refers to the port identification of different user ports and the user channel information of the user ports. The user ports can be identified by the port name or port ID. For example, if the user port is the WeChat personal terminal, the port name is WeChat personal, and the user channel information includes the user ID and user historical information.

[0030] The first authentication object refers to the company to which the user belongs. Generally, a user ID will be bound to at least one company, or the user historical information indicates that the user belongs to a certain company. If the user port is a WeChat group, generally a WeChat group will be pre-bound to a company. The first authentication object can be determined through the port identification and user channel information.

[0031] The authentication target refers to the company to which the device belongs. When the user belongs to the company to which the device belongs, the user can be given the permission to process.

[0032] The device-company correspondence list of devices and their affiliated companies is pre-stored in the system. The authentication target can be determined based on the device information in the authentication requirement and the device-company correspondence list.

[0033] Optionally, step 102 includes steps A1 to A2: Step A1: Determine the user port and user information based on the port information.

[0034] Step A2: When the user port is a personal port, determine the list of companies bound by the user based on the user information, and use at least one company in the company list as the first authentication object; when the user port is a group port, determine the group identifier based on the user information, and use the company bound by the group identifier as the first authentication object; when the user port is a web port, determine the user identifier based on the user information, and use the company bound by the user identifier as the first authentication object.

[0035] In the above steps A1 to A2, the user port includes a personal port, a group port, and a web port. The personal port includes the WeChat personal client or the QQ personal client; the group port includes the WeChat group client or the QQ group client. The intelligent customer service can determine which port the current session belongs to based on the session channel through code logic.

[0036] The user information refers to the identification information of the user. The user information includes: WeChat ID, QQ number, WeChat group name, WeChat group ID, QQ group name, QQ group number, and the user identity information (token) of the web page.

[0037] When the user port is a personal port, the system pre-stores the correspondence between the user and the affiliated company in a table.

[0038] When the user port is a group port, the system stores the correspondence between the group name or group ID and the affiliated company of the group in a table. By way of example, the system pre-maintains a data table based on the group name. The data table includes fields: group name, group ID, and company ID. The device has an affiliated company, and a service customer group is established based on the company. The group ID and the company name match, and the company name corresponds to a unique company ID.

[0039] When the user port is a web port, the system pre-stores the correspondence between the user and the affiliated company of the user in a table.

[0040] In the embodiments of the present invention, the authentication process of the authentication robot is applied to WeChat, QQ, or the web, which can solve the difficulties of multi-channel user authentication.

[0041] Step 103: Determine whether the first authentication object matches the authentication target.

[0042] Optionally, when the authentication requirement includes device information of multiple devices, step 102 includes step B1: Including step B1: determining the authentication target to which the device belongs according to the device information of each device; Step 103 includes steps B2 to B3: Step B2: matching the authentication target of each device with the first authentication object; Step B3: when there is a match between the authentication target of one device and the first authentication object, it is determined that the first authentication object matches the authentication target.

[0043] In the above steps B1 to B3, if the user mentions device numbers of multiple different companies in the session, and it is determined that only one company matches, the session will be directly given to the task processing robot.

[0044] Step 104, when the first authentication object matches the authentication target, perform the authentication task.

[0045] In the above step 104, if the user has completed authentication in the same session, after new messages are input, they will not enter the authentication robot again and will be directly given to the task processing robot.

[0046] Optionally, a method for data authentication in the process of processing conversations based on a large model provided by the present invention further includes step 105: Step 105: when the first authentication object does not match the authentication target, send a prompt message to guide the user to input the authentication target; match the authentication target information input by the user with the authentication target through the large model, and when the match is successful, perform the authentication task.

[0047] In the above step 105, guiding the user to input the authentication target means that the large model asks the user to provide the name of the company and waits for the user to input. The prompt message, for example, is "Due to the need for authentication in processing, please reply with the complete name of this device / vehicle's company."

[0048] Before entering the processing flow, judge according to the authentication process and then enter the authentication flow, and then perform authentication verification according to the input and output of the large model to guide the conversation, and complete authentication and provide services during the actual conversation process.

[0049] The authentication robot will give the first user input data to the customer service robot for processing the problem. If the large model determines that the user has not provided the company name yet, it will remind the user to input the company name again. If it exceeds twice or the match is not successful, it will be transferred to manual processing.

[0050] Optionally, the matching of the authentication target information input by the user with the authentication target through the large model in step 105 includes steps C1 to C3: Step C1: Extract authentication target information from the second user input data through a large model; Step C2: Determine the second authentication object through the large model based on the authentication target information and the company abbreviation list; wherein, the company abbreviation list refers to a list including company full names and at least one company abbreviation; Step C3: Match the second authentication object with the authentication target.

[0051] In the above steps C1 to C3, the underlying layer of the large model will give the authentication robot some example explanations of company abbreviations, and the user can input the abbreviated names.

[0052] After the authentication robot passes the authentication, it is necessary to process the session information. The authentication robot processes the first user input data separately. The prompt information for guiding the user to input the authentication target and the second user input data are separately retained in the session of the authentication robot, and only the first user input data is transferred to the robot for the next task processing. During the process of processing the session information, it is necessary to specially process the flow of user input and output. Here, it is considered that invalid user input information will affect the intention judgment and actual output results of the next question processing robot.

[0053] A method for data authentication in the process of processing conversations based on a large model provided by the present invention extracts authentication requirements from the first user input data through the large model; wherein, the authentication requirements include device information and authentication tasks; determine the first authentication object according to the port information, and determine the authentication target according to the authentication requirements; judge whether the first authentication object matches the authentication target; in the case where the first authentication object matches the authentication target, execute the authentication task. Compared with the current customer service channel without an authentication process, where communication and problem handling are carried out manually, it realizes the automation of the process of handling problems by intelligent customer service, and the authentication robot performs identity information authentication before service, and then provides service after matching and confirmation.

[0054] Next, a device for data authentication in the process of processing conversations based on a large model provided by the present invention will be described. The device for data authentication in the process of processing conversations based on a large model described below can be correspondingly referred to the method for data authentication in the process of processing conversations based on a large model described above.

[0055] The present invention provides a device for data authentication in the process of processing conversations based on a large model, including the following modules: A requirement extraction module 201, configured to extract authentication requirements from the first user input data through a large model; wherein, the authentication requirements include device information and authentication tasks; A target determination module 202, configured to determine the first authentication object according to the port information and determine the authentication target according to the authentication requirements; The first target matching module 203 is used to determine whether the first authentication object matches the authentication target; The task execution module 204 is used to execute the authentication task when the first authentication object matches the authentication target.

[0056] According to a device for data authentication in the process of processing a dialogue based on a large model provided by the present invention, when the authentication requirement includes device information of multiple devices, the target determination module 202 is used to determine the authentication target to which the device belongs according to the device information of each device; The first target matching module 203 is used to match the authentication target of each device with the first authentication object; when the authentication target of one device matches the first authentication object, it is determined that the first authentication object matches the authentication target.

[0057] According to a device for data authentication in the process of processing a dialogue based on a large model provided by the present invention, the target determination module 202 includes: The port processing sub-module is used to determine the user port and user information according to the port information; when the user port is a personal port, determine the company list bound by the user according to the user information, and use at least one company in the company list as the first authentication object; when the user port is a group port, determine the group identifier according to the user information, and use the company bound by the group identifier as the first authentication object; When the user port is a web port, determine the user identifier according to the user information, and use the company bound by the user identifier as the first authentication object.

[0058] According to a device for data authentication in the process of processing a dialogue based on a large model provided by the present invention, it further includes: The guidance input module is used to send a prompt message for guiding the user to input the authentication target when the first authentication object does not match the authentication target; match the authentication target information input by the user and the authentication target through the large model, and execute the authentication task when the match is successful.

[0059] According to a device for data authentication in the process of processing a dialogue based on a large model provided by the present invention, the guidance input module includes: The abbreviation processing sub-module is used to extract the authentication target information from the second user input data through the large model; determine the second authentication object according to the authentication target information and the company abbreviation list through the large model; wherein, the company abbreviation list refers to a list including the full company name and at least one company abbreviation; match the second authentication object and the authentication target.

[0060] An apparatus for data authentication during a conversation process based on a large model provided by the present invention extracts an authentication requirement from the first user input data through the large model; wherein, the authentication requirement includes device information and an authentication task; determines a first authentication object according to port information, and determines an authentication target according to the authentication requirement; determines whether the first authentication object matches the authentication target; and executes the authentication task when the first authentication object matches the authentication target. Compared with the current customer service channel without an authentication process, where communication and problem handling are carried out manually, it realizes the automation of the problem handling process of intelligent customer service. Before the service, an authentication robot first verifies the identity information, and then provides the service after confirmation.

[0061] Figure 3 An example of the physical structure diagram of an electronic device is shown as Figure 3 shown. The electronic device may include: a processor 810, a communication interface 820, a memory 830, and a communication bus 840. Among them, the processor 810, the communication interface 820, and the memory 830 complete mutual communication through the communication bus 840. The processor 810 can call the logical instructions in the memory 830 to execute the method for data authentication during a conversation process based on a large model.

[0062] In addition, when the logical instructions in the above-mentioned memory 830 are implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0063] An electronic device provided by the present invention, wherein the processor executes a method for data authentication during a conversation process based on a large model. The authentication requirements are extracted from the first user input data by the large model; wherein, the authentication requirements include device information and an authentication task; a first authentication object is determined according to the port information, and an authentication target is determined according to the authentication requirements; it is judged whether the first authentication object matches the authentication target; and when the first authentication object matches the authentication target, the authentication task is executed. Compared with the current customer service channel without an authentication process, where communication and problem handling are carried out manually, the process of intelligent customer service for problem handling is automated, and before the service, an authentication robot first performs identity information matching and then conducts the service.

[0064] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the method for data authentication during a conversation process based on a large model provided by each of the above methods.

[0065] A computer program product provided by the present invention, wherein the computer program executes a method for data authentication during a conversation process based on a large model. The authentication requirements are extracted from the first user input data by the large model; wherein, the authentication requirements include device information and an authentication task; a first authentication object is determined according to the port information, and an authentication target is determined according to the authentication requirements; it is judged whether the first authentication object matches the authentication target; and when the first authentication object matches the authentication target, the authentication task is executed. Compared with the current customer service channel without an authentication process, where communication and problem handling are carried out manually, the process of intelligent customer service for problem handling is automated, and before the service, an authentication robot first performs identity information matching and then conducts the service.

[0066] On another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the method for data authentication during a conversation process based on a large model provided by each of the above methods.

[0067] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative labor.

[0068] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solutions, in essence, or the parts that contribute to the prior art can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for data authentication during the dialogue process based on a large model, characterized in that, including: extracting authentication requirements from the first user input data through a large model; wherein, the authentication requirements include device information and an authentication task; determining a first authentication object according to port information, and determining an authentication target according to the authentication requirements; judging whether the first authentication object matches the authentication target; when the first authentication object matches the authentication target, executing the authentication task.

2. The method for data authentication during the conversation process based on the large model according to claim 1, wherein when the authentication requirements include device information of multiple devices, the determining the authentication target according to the authentication requirements includes: determining the authentication target to which each device belongs according to the device information of each device; the judging whether the first authentication object matches the authentication target includes: matching the authentication target of each device with the first authentication object; when the authentication target of one device matches the first authentication object, determining that the first authentication object matches the authentication target.

3. The method for data authentication during the dialogue process based on the large model according to claim 1, wherein the determining the first authentication object according to port information includes: determining a user port and user information according to port information; when the user port is a personal port, determining a list of companies bound by the user according to the user information, and taking at least one company in the company list as the first authentication object; when the user port is a group port, determining a group identifier according to the user information, and taking the company bound by the group identifier as the first authentication object; when the user port is a web port, determining a user identifier according to the user information, and taking the company bound by the user identifier as the first authentication object.

4. The method for data authentication during the dialogue process based on the large model according to claim 1, wherein also including: when the first authentication object does not match the authentication target, sending a prompt message to guide the user to input an authentication target; matching the authentication target information input by the user with the authentication target through a large model, and when the matching is successful, executing the authentication task.

5. The method for data authentication during the dialogue process based on the large model according to claim 4, wherein the matching the authentication target information input by the user with the authentication target through a large model includes: extracting authentication target information from the second user input data through a large model; determining a second authentication object according to the authentication target information and a company abbreviation list through a large model; wherein, the company abbreviation list refers to a list including company full names and at least one company abbreviation; matching the second authentication object with the authentication target.

6. An apparatus for data authentication during a conversation process based on a large model, characterized in that, including: a requirement extraction module, configured to extract authentication requirements from the first user input data through a large model; wherein, the authentication requirements include device information and an authentication task; a target determination module, configured to determine a first authentication object according to port information and determine an authentication target according to the authentication requirements; a first target matching module, configured to judge whether the first authentication object matches the authentication target; a task execution module, configured to execute the authentication task when the first authentication object matches the authentication target.

7. The method for data authentication during the conversation process based on the large model according to claim 6, wherein when the authentication requirements include device information of multiple devices, the target determination module is configured to determine the authentication target to which each device belongs according to the device information of each device; The first target matching module is configured to match the authentication target of each device with the first authentication object; in the case where the authentication target of one device matches the first authentication object, it is determined that the first authentication object matches the authentication target.

8. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, wherein, When the processor executes the computer program, it implements the method for data authentication in the process of processing a conversation based on a large model as described in any one of claims 1 to 5.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method for data authentication in the process of processing a conversation based on a large model as described in any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the method for data authentication in the process of processing a conversation based on a large model as described in any one of claims 1 to 5.

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