Data processing device, data processing method, and data processing program

Abstract

To provide a data processing device capable of proposing an assignment destination desired by an employee, a data processing method, and a data processing program.SOLUTION: A data processing device includes: a processing unit which performs specific processing using a generative model; and an output unit which outputs results of the specific processing. The processing unit executes processing for causing the generative model to generate an assignment destination of an employee and a career plan in the assignment destination on the basis of the employee's career requests transmitted from a terminal device. The output unit outputs the assignment destination of the employee and the career plan in the assignment destination generated by the generative model to the terminal device.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a data processing device, a data processing method, and a data processing program. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the conventional technology leaves room for improvement when proposing employees' desired assignments. [Means for solving the problem]

[0005] A first aspect of the technology disclosed herein includes a processing unit that performs specific processing using a generative model, and an output unit that outputs the results of the specific processing, wherein the processing unit executes the specific processing by having the generative model generate an assignment destination and a career plan for the employee at the assignment destination based on the employee's career requests transmitted from a terminal device, and the output unit is a data processing device that outputs the assignment destination and career plan for the employee at the assignment destination generated by the generative model to the terminal device.

[0006] A second aspect of the technology disclosed herein is a data processing method in which a processor executes a step of performing specific processing using a generative model and a step of outputting the results of the specific processing, wherein the step of performing specific processing executes a process in which the generative model generates an assignment destination and a career plan for the employee at the assignment destination based on the employee's career requests transmitted from a terminal device, and the output step outputs the assignment destination and career plan for the employee at the assignment destination generated by the generative model to the terminal device.

[0007] A third aspect of the technology disclosed herein is a data processing program that causes a computer to execute a process including a step of performing specific processing using a generative model and a step of outputting the results of the specific processing, wherein the step of performing specific processing executes a process in which the generative model generates an assignment destination and a career plan for the employee at the assignment destination based on the employee's career requests transmitted from a terminal device, and the output step outputs the assignment destination and career plan for the employee at the assignment destination generated by the generative model to the terminal device. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a conceptual diagram illustrating an example of a configuration of a data processing system. [Figure 2] FIG. 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device. [Figure 3A] An overview of the specific processing is shown below. [Figure 3B] An overview of the specific processing is shown below. [Figure 3C] An overview of the specific processing is shown below. [Figure 3D] An overview of the specific processing is shown below. [Figure 3E] An overview of the specific processing is shown below. [Figure 4] 2 shows a schematic functional configuration of a specific processing unit of the data processing device. [Figure 5]10 is a diagram illustrating an example of an operational flow of specific processing by a data processing device. [Figure 6] 10 is a diagram illustrating an example of an operational flow of specific processing by a data processing device. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an example of an embodiment of a data processing device, a data processing method, and a program according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), or an APU (Accelerated Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] FIG. 1 shows an example of the configuration of a data processing system 10 according to the embodiment.

[0017] As shown in FIG. 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. An example of the smart device 14 is a smartphone. In this embodiment, the data processing device 12 is an example of a "data processing device" according to the technology of the present disclosure, and the smart device 14 is an example of a "terminal device" according to the technology of the present disclosure. The smart device 14 is, for example, a device used by an employee of a company. If the employee has just joined the company and wants to decide where he or she will be assigned, the employee can use the data processing system 10 with the smart device 14 to have the data processing device 12 propose a career plan, such as an assignment that suits him or her.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the person 20 by outputting the data in a form of expression that the person 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58. The data generation model 58 is used by the specific processing unit 290.

[0026] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 62. The reception output program 62 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 62 from the storage 50 and executes the read reception output program 62 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 62 executed on the RAM 48.

[0027] Next, the processing of the specific processing unit 290 when the data processing device 12 performs the specific processing to generate an employee's career plan will be described.

[0028] 3A and 3B are diagrams showing examples of screens displayed on the display 40A of the smart device 14. In the specification process of this embodiment, as shown in FIG. 3A, when a user of the smart device 14 inputs career preferences, such as skills to be acquired, to the smart device 14 in a chat format, the data processing device 12 generates a career plan, including suitable assignments for the user of the smart device 14 and skills that can be acquired at the assignments, based on the career preferences, and transmits the plan to the smart device 14. As shown in FIG. 3B, the smart device 14 displays suitable assignments for the user of the smart device 14 on the display 40A. The user of the smart device 14 can use the career plan, including suitable assignments and skills that can be acquired at the assignments, generated by the data processing device 12 on the smart device 14, to help them achieve their desired assignments.

[0029] Examples of career aspirations input by the user of the smart device 14 may include the desired work content, the skills the user wants to acquire, the atmosphere of the department, the personality of the supervisor, whether the user wishes to be transferred, etc. When the data processing device 12 prompts the user of the smart device 14 to input career aspirations, the data processing device 12 may prompt the user to input information such as the skills and qualifications the user currently possesses in a chat format.

[0030] The user of the smart device 14 may input the carrier's request into the smart device 14 by text or by voice.

[0031] As shown in FIG. 4, the specific processing unit 290 includes an input unit 292, a processing unit 294, and an output unit 296.

[0032] The input unit 292 acquires a user input accepted by the smart device 14. Specifically, the input unit 292 acquires at least one of text, voice, and image data of the user accepted by the smart device 14.

[0033] The processing unit 294 performs a specific process using the data generation model 58. Specifically, the processing unit 294 inputs text, voice, and image data input by the user into the data generation model 58 to obtain a generation result. Furthermore, the processing unit 294 generates a career plan result based on the generation result, including an assignment suitable for the user of the smart device 14 and skills that can be acquired at that assignment. Specifically, the processing unit 294 generates a prompt such as, "Based on the registered information, please generate a department that is thought to match the preferences of the following employee and a career plan for that department. The employee's preference is a department where they can acquire the skills of the generation AI, and the work location is Takeshiba. They do not wish to be transferred," and inputs the generated prompt into the data generation model 58.

[0034] The output unit 296 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0035] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0036] The data generation model 58 is a model that can refer to information on the resumes of employees who currently work or have previously worked at the company to which the user of the smart device 14 belongs. The information on the employee's resume may include, for example, information such as the employee's department, the job content in the department, the length of time the employee has been employed in the department, and whether or not there have been transfers in the department. The data generation model 58 may be re-trained at any time.

[0037] When performing identification processing using the data generation model 58, the processing unit 294 uses the data generation model 58 to extract multiple departments that are likely to match the information entered by the user of the smart device 14. Information on all company departments is vectorized and stored in advance based on information previously registered by the department and information on employee resumes. The resume information is also stored hierarchically as raw data. The processing unit 294 vectorizes the content entered by the user of the smart device 14, compares it with the department information that has been vectorized in advance, and extracts a predetermined number of departments with the highest degree of similarity. When comparing the content entered by the user with the department information, the processing unit 294 runs a loop that compares the content for each department based on predetermined department criteria for each department, and determines the average value of all criteria as the degree of similarity.

[0038] When the processing unit 294 extracts departments that appear to match the information entered by the user of the smart device 14, it generates a career plan for each extracted department using the data generation model 58. Specifically, the processing unit 294 searches the storage 32 for raw data of resumes written by employees who belong to or previously belonged to departments with a high degree of similarity, and causes the data generation model 58 to generate a career plan for the user of the smart device 14 using the raw data of the resumes obtained by the search. The processing unit 294 inputs the resumes and predetermined prompts for generating a career plan for the user of the smart device 14 into the data generation model 58, thereby causing the data generation model 58 to generate a career plan for the user of the smart device 14. The processing unit 294 causes the data generation model 58 to generate a career plan for a predetermined number of years, for example, 10 years.

[0039] Then, the processing unit 294 calculates the degree of match for each of the extracted departments. The criteria for a department include, for example, the career goal of the department, the business content of the department, the work location and work style of the department, the human resources required by the department, the work that the department is not good at, etc., and the degree of similarity is determined in advance in multiple stages, for example, five stages.

[0040] 3C is an example of a screen displayed on the display 40A of the smart device 14 when the user of the smart device 14 selects "Check career map details" indicated by reference numeral 301 in FIG. 3B. The career plan of the user of the smart device 14 for each of the extracted departments and the degree of match between each of the extracted departments, which are generated by the processing unit 294, are output by the output unit 296. The career plan of the user of the smart device 14 and the degree of match between each of the departments, which are output by the output unit 296, are displayed on the display 40A of the smart device 14, as shown in FIG. 3C.

[0041] For example, if an employee who is the user of the smart device 14 desires to work in a department where he or she can acquire the skills of the generation AI, the processing unit 294 extracts from all departments in the company those departments where the employee can acquire the skills of the generation AI, and generates a career plan for the department using the data generation model 58. The career plan generated here is based on the data generation model 58, which refers to the resumes prepared in advance by employees who belonged to the department and the career plan information registered in advance in the department, and is therefore a career plan that reflects reality.

[0042] The career plan displayed on the display 40A of the smart device 14 is subdivided and displayed based on the user's selection operation. FIG. 3D is an example of a screen displayed on the display 40A of the smart device 14, and is an example of a screen displayed when the user of the smart device 14 selects "Understanding LLM and accumulating practical experience" indicated by reference numeral 311 in FIG. 3C. In this example, a detailed career plan for 2024 generated by the processing unit 294 is displayed on the display 40A. By displaying the subdivided career plan on the display 40A of the smart device 14, the data processing device 12 can help the user of the smart device 14 decide where to assign the plan.

[0043] The smart device 14 may be used by a company's human resources department employee. FIG. 3E is an example of a screen displayed on the display 40A of the smart device 14. The company's human resources department employee uses the smart device 14 to send the career aspirations entered by a new employee to the data processing device 12. The data processing device 12 generates the new employee's career plan and the extracted match degree with each department and sends it to the smart device 14. The company's human resources department employee can use the new employee's career plan and the extracted match degree with each department displayed on the smart device 14 to help decide where to assign the new employee. Furthermore, the data processing device 290 can automatically determine where to assign multiple employees by receiving the aspirations of multiple employees from the smart device 14 used by the human resources department employee.

[0044] Next, the operation of the data processing system 10 will be described.

[0045] An example of the flow of the identification process will be described with reference to Fig. 5. The flow of the identification process shown in Fig. 5 is an example of a "data processing method" according to the technology of the present disclosure.

[0046] In step S300, the processing unit 294 determines whether a predetermined trigger condition is met, which is that a user input accepted by the smart device 14 is acquired.

[0047] If the trigger condition is met in step S300 (step S300; Yes), the data processing system 10 proceeds to step S301. On the other hand, if the trigger condition is not met in step S300 (step S300; No), the data processing system 10 ends the identification process.

[0048] In step S301, the processing unit 294 generates a prompt by adding an instruction sentence for obtaining a result of a specific process to the text input on the smart device 14. Specifically, the processing unit 294 generates the prompt, "Based on the registered information, please generate a department that is thought to match the preferences of the following employee and a career plan for that department. The employee's preference is a department where he or she can acquire the skills of the generation AI, and the work location is Takeshiba. Transfer is not desired."

[0049] In step S303, the processing unit 294 inputs the generated prompt into the data generation model 58 and obtains the result of the specific processing based on the output of the data generation model 58. In this embodiment, the processing unit 294 performs a process of generating a career plan as the specific processing.

[0050] In step S304, the output unit 296 outputs the result of the identification process to the smart device 14, and ends the identification process. As a result of the identification process, the output unit 296 outputs to the smart device 14 the department that is considered to match the employee's preferences and the career plan in that department.

[0051] FIG. 6 is a flowchart showing the process of generating a career plan as the specific process.

[0052] In step S311, the processing unit 294 acquires a user input input by the user on the smart device 14. The user input input by the user on the smart device 14 includes information about a carrier plan desired by the user.

[0053] In step S312, the processing unit 294 inputs the user input to the data generation model 58, and based on the output of the data generation model 58, extracts at least one department that has a high degree of similarity to the user's desired career plan.

[0054] In step S313, the processing unit 294 generates a career plan for the extracted department using information on career plans registered in advance in the department, resumes prepared by employees of the department, and the like.

[0055] In step S314, the processing unit 294 calculates the degree of match of the department extracted in step S312 with the career plan desired by the user.

[0056] In step S315, the output unit 296 outputs the carrier plan generated in step S313 to the smart device 14.

[0057] According to the data processing device 290 of this embodiment, it is possible to generate a department and a career plan in that department that matches the employee's preferences based on the output of the data generation model 58, and output the generated plan to the smart device 14. The data processing device 290 of this embodiment generates a department and a career plan in that department that matches the employee's preferences, and outputs the generated plan to the smart device 14, which can be used to determine the employee's desired assignment and for the human resources department to decide where to assign the employee.

[0058] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 290, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[0059] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0060] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0061] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0062] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0063] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0064] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[0065] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0066] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0067] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0068] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[0069] The following additional notes are provided regarding the above-described embodiments. (Appendix 1) a processing unit that performs specific processing using a generative model; an output unit that outputs a result of the specified processing, The processing unit executes, as the identification process, a process of causing the generative model to generate an assignment destination and a career plan for the employee at the assignment destination based on the employee's career desires transmitted from the terminal device; The output unit outputs the employee's assignment and career plan at the assignment generated by the generative model to the terminal device. Data processing device. (Appendix 2) 2. The data processing device according to claim 1, wherein the processing unit further executes, as the identification process, a process of causing the generative model to calculate a degree of matching for each assignment. (Appendix 3) 3. The data processing device according to claim 1, wherein the generative model is a model that can refer to information on the resumes of other employees or information on career plans pre-registered in a department. (Appendix 4) The data processing device according to any one of Supplementary Note 1 to Supplementary Note 3, wherein the processing unit executes, as the specific processing, a process of causing the generative model to generate a career plan subdivided in accordance with a selection operation on the output career plan. (Appendix 5) The processor: performing a specific process using a generative model; and outputting the result of the specific processing; The step of performing the specific processing includes executing a process of causing the generative model to generate an assignment destination and a career plan for the employee at the assignment destination based on the employee's career desires transmitted from the terminal device, as the specific processing; The outputting step outputs the employee's assignment and career plan at the assignment, which are generated by the generative model, to the terminal device. Data processing methods. (Appendix 6) On the computer, performing a specific process using a generative model; and outputting a result of the specified processing, The step of performing the specific processing includes executing a process of causing the generative model to generate an assignment destination and a career plan for the employee at the assignment destination based on the employee's career desires transmitted from the terminal device, as the specific processing; The outputting step outputs the employee's assignment and career plan at the assignment generated by the generative model to the terminal device. [Explanation of symbols]

[0070] 10 Data Processing System 12 Data Processing Device 14 Smart Devices 290 Special Processing Department 292 Input section 294 Processing Section 296 Output Section< / url:>

Claims

1. a processing unit that performs specific processing using a generative model; an output unit that outputs a result of the specified processing, The processing unit executes, as the identification process, a process of causing the generative model to generate an assignment destination and a career plan for the employee at the assignment destination based on the employee's career desires transmitted from the terminal device; The output unit outputs the employee's assignment and career plan at the assignment generated by the generative model to the terminal device. Data processing device.

2. The data processing device according to claim 1 , wherein the processing unit further executes, as the identification process, a process of causing the generative model to calculate a matching degree for each assignment.

3. The data processing device according to claim 1 , wherein the generative model is a model that can refer to information on resumes of other employees or information on career plans registered in advance in a department.

4. The data processing device according to claim 1 , wherein the processing unit executes, as the specifying process, a process of causing the generative model to generate a career plan subdivided in response to a selection operation on the output career plan.

5. The processor: performing a specific process using a generative model; and outputting the result of the specific processing; The step of performing the specific processing includes executing a process of causing the generative model to generate an assignment destination and a career plan for the employee at the assignment destination based on the employee's career desires transmitted from the terminal device, as the specific processing; The outputting step outputs the employee's assignment and career plan at the assignment, which are generated by the generative model, to the terminal device. Data processing methods.

6. On the computer, performing a specific process using a generative model; and outputting a result of the specified processing, The step of performing the specific processing includes executing a process of causing the generative model to generate an assignment destination and a career plan for the employee at the assignment destination based on the employee's career desires transmitted from the terminal device, as the specific processing; The outputting step outputs the employee's assignment and career plan at the assignment generated by the generative model to the terminal device.

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