A talent training method and system based on three-insect empowerment
By constructing externalized, internalized, and standardized training processes, and utilizing the BERT algorithm to select and formulate training programs, the problem of knowledge introduction and transformation in corporate training has been solved, achieving efficient and standardized training results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING YIAI MANAGEMENT CONSULTING CO LTD
- Filing Date
- 2024-07-29
- Publication Date
- 2026-06-09
AI Technical Summary
The lack of internalization and externalization analysis models in personnel training leads to unobjective and inefficient training, as well as a lack of standardized processes, making it difficult to effectively introduce and transform external knowledge.
By constructing externalized, internalized, and standardized training processes, using the BERT algorithm to train models, selecting corporate mentors and experts, and developing empowerment training outlines and standard systems, efficient training can be conducted.
It has achieved high efficiency in knowledge introduction and transformation, improved the objectivity and standardization of training, and enhanced training efficiency and the effective empowerment of talents.
Smart Images
Figure CN118966885B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of talent training, and in particular to a talent training method and system based on three-pronged empowerment. Background Technology
[0002] Companies typically address their talent needs in two ways: by hiring existing professionals and by developing new ones. From an economic perspective, developing talent is more cost-effective. Companies generally do this by inviting external experts to explain and train them on the latest business technologies, management techniques, and business philosophies.
[0003] Currently, most companies have failed to achieve the three-fold empowerment of internal expert knowledge introduction, namely internalization, externalization, and standardization. Furthermore, when conducting personnel training and system formulation, they are mostly based on individuals, lacking objective internalization and externalization analysis models, resulting in personnel training that is not objective and inefficient. Summary of the Invention
[0004] To overcome the shortcomings of existing technologies, the purpose of this invention is to provide a talent training method and system based on three empowerments. By introducing externalization, internalization, and standardized training processes, a personnel training system is built based on these three empowerments to improve the efficiency of knowledge introduction and personnel training.
[0005] To achieve the above objectives, the present invention provides the following solution:
[0006] A talent training method based on three-pronged empowerment includes:
[0007] Collect production information and input it into a preset externalized model to obtain improvement plans, execution tools, and long-term mechanisms;
[0008] Based on the aforementioned improvement plan, implementation tools, and long-term mechanism, target enterprise mentors and experts are selected.
[0009] Collect the expert experience of the mentors and experts from the target companies, and input the expert experience into the preset internalization model to obtain the empowerment training outline, empowerment training process, work manual, courseware, material package, apprentice work manual and continuous improvement manual.
[0010] The empowerment training outline and the empowerment training process are standardized to obtain a standardized process;
[0011] The work manual and the apprentice work manual are standardized to obtain a standard system;
[0012] By summarizing the courseware, the resource package, and the continuous improvement manual, a standardized and long-term mechanism is obtained.
[0013] Training is conducted on the target personnel based on the aforementioned standardized processes, standard systems, and standardized long-term mechanisms.
[0014] The target trainees were evaluated, and the evaluation results were obtained.
[0015] Based on the evaluation results, target empowerment talents are selected according to preset standards.
[0016] Preferably, the construction process of the externalized model includes:
[0017] Collect text information;
[0018] Based on the text information, the BERT algorithm is used to train the model and obtain a general dialogue model.
[0019] Collect information on the production plan, production tools, and production mechanisms, and integrate them to obtain secondary training text;
[0020] The secondary training text is labeled to obtain secondary training data;
[0021] The general dialogue model is trained based on the secondary training data to obtain the trained externalized model.
[0022] Preferably, the construction process of the internalization model includes:
[0023] Collect training outline information, training process information, manual information, material information, apprentice manual information, and improvement manual information, and integrate them to obtain three training texts;
[0024] The three training texts are labeled to obtain three training data sets;
[0025] The general dialogue model is trained based on the three training data sets to obtain the trained internalized model.
[0026] Preferably, based on the text information, a general dialogue model is obtained by training the model using the BERT algorithm, including:
[0027] The text information is cleaned to obtain plain text content;
[0028] The plain text content is segmented into words to obtain a set of fragment content;
[0029] Remove the stop words from the fragment content set to obtain the key fragment set;
[0030] Stemming and word form restoration are performed on the key fragment set to obtain a redundant fragment set;
[0031] The deredundant fragment set is vectorized to obtain the standard input vector.
[0032] Preferably, based on the text information, the model is trained using the BERT algorithm to obtain a general dialogue model, and the method further includes:
[0033] The MLM training method based on the BERT algorithm is used to train the standard input vector to obtain the initial model;
[0034] The initial model is trained using the NSP training method based on the BERT algorithm to obtain the general dialogue model.
[0035] Preferably, a talent training system based on three empowerments includes: an externalization subsystem, an internalization subsystem, and a standardization subsystem; the externalization subsystem includes: a survey and evaluation module, a solution development module, a tool matching module, a mechanism construction module, and an expert evaluation module; the internalization subsystem includes: an experience summarization module, a guidance development module, and a personnel evaluation module; the standardization subsystem includes: a process standardization module, a system standardization module, a long-term mechanism module, and a qualification report module.
[0036] The survey and evaluation module is used to analyze the production information during the production process; the solution formulation module is used to formulate the improvement plan; the tool matching module is used to select the execution tools according to the improvement plan; the mechanism construction module is used to formulate the long-term mechanism; the expert evaluation module is used to select the target enterprise mentor experts; the experience summarization module is used to collect the expert experience; the guidance formulation module is used to formulate the empowerment training outline, the empowerment training process, the work manual, the courseware, the material package, the apprentice work manual, and the continuous improvement manual; the personnel evaluation module is used to evaluate the target trainees; the process standardization module is used to standardize the empowerment training outline and the empowerment training process; the system standardization module is used to standardize the work manual and the apprentice work manual; the long-term mechanism module is used to summarize the courseware, material package, and continuous improvement manual; and the qualification report module is used to select the target empowerment talents according to the evaluation results of the qualification report module.
[0037] Preferably, the externalization subsystem, the internalization subsystem, and the standardization subsystem operate on a preset central control platform;
[0038] The central control platform is used to train the externalized model and the internalized model.
[0039] Preferably, the core of the operation of the scheme formulation module, the tool matching module, and the mechanism construction module is the externalized model.
[0040] The present invention discloses the following technical effects:
[0041] This invention provides a talent training method and system based on three empowerments: externalization model, which solves the problem of introducing external knowledge and realizes the screening of problems, the formulation of strategies, and the introduction of experts; internalization model, which solves the problem of transforming external knowledge and realizes the summarization, classification, and improvement of expert experience, as well as the improvement of processes, systems, and long-term mechanisms; and standardization of processes, systems, and long-term mechanisms, which solves the problem of talent training and realizes the efficient value-added of personnel. Attached Figure Description
[0042] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0043] Figure 1 This is a flowchart of the three-pronged empowerment training provided in an embodiment of the present invention;
[0044] Figure 2 This is a three-dimensional enabling logic diagram provided in an embodiment of the present invention. Figure 2 (a) is a diagram illustrating the implementation of the "Three-fold Empowerment" theory. Figure 2 (b) is a diagram showing the expected results of the three-pronged approach to empowerment. Detailed Implementation
[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0046] The purpose of this invention is to provide a talent training method and system based on three empowerments: externalization, internalization, and standardization. By introducing externalization, internalization, and standardization training processes, a personnel training system is built based on these three empowerments to improve the efficiency of knowledge introduction and personnel training.
[0047] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0048] Figure 1 The flowchart for the three-pronged empowerment training provided in this embodiment of the invention is as follows: Figure 1 As shown, this invention provides a talent training method based on three-pronged empowerment, including:
[0049] Step 100: Collect production information and input the production information into a preset externalization model to obtain improvement plans, execution tools, and long-term mechanisms;
[0050] Step 200: Based on the improved plan, the execution tools, and the long-term mechanism, select target enterprise mentor experts;
[0051] Step 300: Collect the expert experience of the mentors and experts of the target enterprise, and input the expert experience into the preset internalization model to obtain the empowerment training outline, empowerment training process, work manual, courseware, material package, apprentice work manual and continuous improvement manual.
[0052] Step 400: Standardize the empowerment training outline and the empowerment training process to obtain a standardized process;
[0053] Step 500: Standardize the work manual and the apprentice work manual to obtain a standard system;
[0054] Step 600: Summarize the courseware, the resource package, and the continuous improvement manual to obtain a standardized long-term mechanism;
[0055] Step 700: Train the target trainees based on the standardized process, the standardized system, and the standardized long-term mechanism;
[0056] Step 800: Evaluate the target trainees and obtain the evaluation results;
[0057] Step 900: Based on the evaluation results, select target empowerment talents according to preset standards.
[0058] Specifically, the construction process of the externalized model includes:
[0059] Collect text information;
[0060] Based on the text information, the BERT algorithm is used to train the model and obtain a general dialogue model.
[0061] Collect information on the production plan, production tools, and production mechanisms, and integrate them to obtain secondary training text;
[0062] The secondary training text is labeled to obtain secondary training data;
[0063] The general dialogue model is trained based on the secondary training data to obtain the trained externalized model.
[0064] Specifically, the construction process of the internalization model includes:
[0065] Collect training outline information, training process information, manual information, material information, apprentice manual information, and improvement manual information, and integrate them to obtain three training texts;
[0066] The three training texts are labeled to obtain three training data sets;
[0067] The general dialogue model is trained based on the three training data sets to obtain the trained internalized model.
[0068] Furthermore, based on the aforementioned text information, the BERT algorithm is used to train a model to obtain a general dialogue model, including:
[0069] The text information is cleaned to obtain plain text content;
[0070] The plain text content is segmented into words to obtain a set of fragment content;
[0071] Remove the stop words from the fragment content set to obtain the key fragment set;
[0072] Stemming and word form restoration are performed on the key fragment set to obtain a redundant fragment set;
[0073] The deredundant fragment set is vectorized to obtain the standard input vector.
[0074] Preferably, based on the text information, the model is trained using the BERT algorithm to obtain a general dialogue model, and the method further includes:
[0075] The MLM training method based on the BERT algorithm is used to train the standard input vector to obtain the initial model;
[0076] The initial model is trained using the NSP training method based on the BERT algorithm to obtain the general dialogue model.
[0077] Furthermore, a talent training system based on three empowerments includes: an externalization subsystem, an internalization subsystem, and a standardization subsystem; the externalization subsystem includes: a survey and evaluation module, a program development module, a tool matching module, a mechanism construction module, and an expert evaluation module; the internalization subsystem includes: an experience summarization module, a guidance development module, and a personnel evaluation module; the standardization subsystem includes: a process standardization module, a system standardization module, a long-term mechanism module, and a qualification report module.
[0078] The survey and evaluation module is used to analyze the production information during the production process; the solution formulation module is used to formulate the improvement plan; the tool matching module is used to select the execution tools according to the improvement plan; the mechanism construction module is used to formulate the long-term mechanism; the expert evaluation module is used to select the target enterprise mentor experts; the experience summarization module is used to collect the expert experience; the guidance formulation module is used to formulate the empowerment training outline, the empowerment training process, the work manual, the courseware, the material package, the apprentice work manual, and the continuous improvement manual; the personnel evaluation module is used to evaluate the target trainees; the process standardization module is used to standardize the empowerment training outline and the empowerment training process; the system standardization module is used to standardize the work manual and the apprentice work manual; the long-term mechanism module is used to summarize the courseware, material package, and continuous improvement manual; and the qualification report module is used to select the target empowerment talents according to the evaluation results of the qualification report module.
[0079] Specifically, the externalization subsystem, the internalization subsystem, and the standardization subsystem operate on a preset central control platform;
[0080] The central control platform is used to train the externalized model and the internalized model.
[0081] Specifically, the core of the operation of the scheme formulation module, the tool matching module, and the mechanism construction module is the externalized model.
[0082] refer to Figure 2 (a) and Figure 2 (b) The “Three-pronged Empowerment” is divided into three stages: Stage 1: Externalization to realize knowledge introduction, leveraging external forces to fill knowledge gaps, increase corporate knowledge reserves, and empower corporate professionals; Stage 2: Internalization to realize knowledge transfer, establishing an external knowledge internalization mechanism, systematically training internal talents to play their role, enhancing corporate knowledge inheritance capabilities, and reducing talent training costs; Stage 3: Standardization to realize knowledge transformation, establishing a systematic explicit knowledge system, solidifying knowledge internalization processes and mechanisms, standardizing and systematizing to improve the speed of knowledge transfer, and realizing the mass replication of talents.
[0083] Specifically, the externalization phase includes: conducting research and evaluation to identify problems; developing solutions and plans to solve problems; providing professional methods, tools, and best practices; conducting empowerment training activities to equip individuals with the ability to solve problems and operate system mechanisms; guiding specific work implementation; and evaluation and assessment. The results of the externalization phase include: research and evaluation reports; improvement plans and programs; professional methods, tools, and best practices; long-term mechanisms such as systems, processes, responsibility lists, and monitoring and assessment management systems; qualified mentors and experts; and evaluation and assessment reports. The internalization phase includes: identifying the experience of corporate mentors and experts; guiding corporate mentors and experts to refine their job experience; guiding the development of mentor and expert empowerment training outlines; guiding the development of mentor and expert empowerment training processes; guiding the development of mentor and expert work manuals; guiding the development of empowerment training courseware and resource packages; guiding the development of apprentice work manuals; guiding the development of continuous improvement manuals; conducting internal trainer and expert training; and evaluation and assessment. The internalized results include: a list of corporate mentor and expert experiences; a framework record sheet for summarizing the job experience of corporate mentors and experts; a mentor and expert empowerment training outline; a mentor and expert empowerment training process; a mentor and expert workbook; empowerment training courseware and material packages; an apprentice workbook; a continuous improvement manual; and an assessment report. The standardization phase includes: summarizing experiences; developing processes; developing management systems; establishing management standards; establishing a long-term mechanism; and publishing a qualified talent report. The standardization results include: management processes; management systems; other management standards; a long-term mechanism; and a qualified talent report.
[0084] Optionally, input text vectorization pseudocode:
[0085] #Assume we have the following vocabulary and input text
[0086] vocab={'a':0,'b':1,'c':2,'d':3,'e':4}
[0087] vocab_size = len(vocab)
[0088] embed_dim = 5 # Dimension of the embedding vector
[0089] # Initialize the embedding matrix (usually randomly initialized and then updated during training).
[0090] embedding_matrix=np.random.rand(vocab_size,embed_dim)
[0091] #Enter text
[0092] input_text=["a","b","c","d"]
[0093] # Convert words to an index
[0094] input_indices=[vocab[word]forword in input_text]
[0095] #Find Embedded Vectors
[0096] input_embeddings=[embedding_matrix[idx]foridx in input_indices]
[0097] #Print results
[0098] print("InputIndices:",input_indices)
[0099] print("InputEmbeddings:",input_embeddings)
[0100] Specifically, the BERT algorithm used in this embodiment includes: a Self-Attention layer, a Feed-Forward neural network layer, a LayerNormalization layer, a residual connection layer, and multiple stacked layers. The Self-Attention layer calculates the correlation between each word in the input sequence and other words, generating a contextual representation. The Feed-Forward neural network layer processes each position individually after the Self-Attention layer. The LayerNormalization layer performs LayerNorm after the output of each sub-layer, contributing to training stability. The residual connection layer uses residual connections between the input and output of each sub-layer, helping to mitigate the vanishing gradient problem. Multiple stacked layers are typically composed of multiple stacked Transformer layers in the BERT model to improve its representational power.
[0101] The beneficial effects of this invention are as follows:
[0102] This invention improves the efficiency of knowledge acquisition and personnel training by introducing externalized, internalized, and standardized training processes and building a personnel training system based on these three empowerments.
[0103] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.
[0104] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.
Claims
1. A talent training method based on three-pronged empowerment, characterized in that, include: Collect production information and input it into a preset externalized model to obtain improvement plans, execution tools, and long-term mechanisms; Based on the aforementioned improvement plan, implementation tools, and long-term mechanism, target enterprise mentors and experts are selected. Collect the expert experience of the mentors and experts from the target companies, and input the expert experience into a preset internalization model to obtain an empowerment training outline, empowerment training process, work manual, courseware, material package, apprentice work manual and continuous improvement manual; standardize the empowerment training outline and the empowerment training process to obtain a standardized process; The work manual and the apprentice work manual are standardized to obtain a standard system; the courseware, the material package, and the continuous improvement manual are summarized to obtain a standardized long-term mechanism; and the target trainees are trained based on the standardized process, the standard system, and the standardized long-term mechanism. The target trainees were evaluated, and the evaluation results were obtained. Based on the evaluation results, target empowerment talents are selected according to preset standards; The construction process of the externalized model includes: collecting text information; training the model using the BERT algorithm based on the text information to obtain a general dialogue model; collecting solution production information, production tool information, and production mechanism information, and integrating them to obtain secondary training text; labeling the secondary training text to obtain secondary training data; and training the general dialogue model based on the secondary training data to obtain the trained externalized model. The process of constructing the internalization model includes: collecting training outline information, training process information, manual information, material information, apprentice manual information, and improvement manual information, and integrating them to obtain three training texts; labeling the three training texts to obtain three training data; and training the general dialogue model based on the three training data to obtain the trained internalization model. Based on the text information, a general dialogue model is trained using the BERT algorithm, including: cleaning the text information to obtain plain text content; segmenting the plain text content to obtain a fragment content set; removing stop words from the fragment content set to obtain a key fragment set; performing stemming and word form restoration on the key fragment set to obtain a deredundant fragment set; and vectorizing the deredundant fragment set to obtain a standard input vector. Based on the text information, a general dialogue model is obtained by training the model using the BERT algorithm. The method further includes: training the standard input vector using the MLM training method based on the BERT algorithm to obtain an initial model; and training the initial model using the NSP training method based on the BERT algorithm to obtain the general dialogue model.
2. A talent training system based on three-pronged empowerment, characterized in that: The system is applied to a talent training method based on three-fold empowerment as described in claim 1, wherein the system comprises: an externalization subsystem, an internalization subsystem, and a standardization subsystem; The externalization subsystem includes: a survey and evaluation module, a solution development module, a tool matching module, a mechanism construction module, and an expert evaluation module; the internalization subsystem includes: an experience summarization module, a guidance development module, and a personnel evaluation module; the standardization subsystem includes: a process standardization module, a system standardization module, a long-term mechanism module, and a qualification report module. The survey and evaluation module is used to analyze the production information during the production process; the solution formulation module is used to formulate improvement plans; the tool matching module is used to select the execution tools according to the improvement plans; the mechanism construction module is used to formulate the long-term mechanism; and the expert evaluation module is used to select the target enterprise mentor experts. The experience collection module is used to gather the expert experience; the guidance formulation module is used to formulate the empowerment training outline, the empowerment training process, the work manual, the courseware, the material package, the apprentice work manual, and the continuous improvement manual; the personnel evaluation module is used to evaluate the target trainees. The process standardization module is used to standardize the empowerment training outline and the empowerment training process; the system standardization module is used to standardize the work manual and the apprentice work manual; the long-term mechanism module is used to summarize the courseware, material packages and continuous improvement manual; and the qualification report module is used to screen the target empowerment talents based on the evaluation results of the qualification report module.
3. The talent training system based on three-pronged empowerment as described in claim 2, characterized in that, The externalization subsystem, the internalization subsystem, and the standardization subsystem operate on a preset central control platform; the central control platform is used to train the externalization model and the internalization model.
4. A talent training system based on three-pronged empowerment as described in claim 2, characterized in that, The core of the operation of the scheme formulation module, the tool matching module, and the mechanism construction module is the externalized model.