CN117077722A - AI number intelligence person construction method and device - Google Patents
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Abstract
The invention provides a method and a device for constructing an AI number person, which relate to the technical field of computers, and the method comprises the following steps: acquiring a plurality of user images containing different user characteristics, and constructing a twin digital human avatar of the user based on the plurality of user images; determining an AI modeling algorithm for processing the user image according to the user demand, and simulating user behavior data corresponding to the user demand based on the AI modeling algorithm; based on the user behavior data, training the twin digital person avatar to obtain an AI number homo having the user behavior. Therefore, the twin digital human avatar is trained based on the user behavior data simulated by the AI modeling algorithm, so that the accurate construction of the user behavior AI number homo sapiens is realized, insight and decision support are provided for the user, and the user is helped to make more scientific and accurate decisions and improvement measures.
Description
Technical Field
The present invention relates to artificial intelligence technologies, and in particular, to a method and apparatus for constructing AI-number wisdom, an electronic device, and a storage medium.
Background
Currently, the popularity is greater for artificial intelligence (Artificial Intelligence, AI) digital man-made technology. AI digital people generally refer to virtual characters with humanized characteristics and capabilities such as voice, expression, motion and the like, and are mainly used in the fields of intelligent customer service, telemarketing, intelligent prompting and receiving, video robots, education, entertainment and the like. Whereas conventional AI numerologies do not have self-learning and decision-making capabilities. Compared with digital people, the digital wisdom person is more intelligent and humanized, and is the final form of digital person evolution.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems in the related art to some extent.
Therefore, a first object of the present invention is to provide a method for constructing the AI-number homo sapiens, which trains a twin digital person avatar based on user behavior data simulated by an AI modeling algorithm, thereby realizing accurate construction of the AI-number homo sapiens, providing insight and decision support for users, and helping users make more scientific and accurate decisions and improvements.
The second object of the present invention is to provide an AI-number homo sapiens construction apparatus.
A third object of the present invention is to propose an electronic device.
A fourth object of the present invention is to propose a non-transitory computer readable storage medium storing computer instructions.
To achieve the above object, an embodiment of a first aspect of the present invention provides a method for constructing an AI-number homo sapiens, the method comprising:
acquiring a plurality of user images containing different user characteristics, and constructing a twin digital human avatar of the user based on the plurality of user images;
determining an AI modeling algorithm for processing the user image according to the user demand, and simulating user behavior data corresponding to the user demand based on the AI modeling algorithm;
and training the twin digital person avatar based on the user behavior data to obtain the AI number homo sapiens with the user behavior.
To achieve the above object, a second aspect of the present invention provides an AI-number homo sapiens construction apparatus, comprising:
the construction module is used for acquiring a plurality of user images containing different user characteristics and constructing a twin digital human avatar of the user based on the user images;
the simulation module is used for determining an AI modeling algorithm for processing the user image according to the user requirement and simulating user behavior data corresponding to the user requirement based on the AI modeling algorithm;
and the training module is used for training the twin digital person avatar based on the user behavior data so as to obtain the AI digital person with user behaviors.
To achieve the above object, an embodiment of a third aspect of the present invention provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect.
To achieve the above object, an embodiment of a fourth aspect of the present invention proposes a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the method according to the first aspect.
The method, the device, the electronic equipment and the storage medium for constructing the AI number homo sapiens acquire a plurality of user images containing different user characteristics, and construct a twin digital homo sapiens avatar of the user based on the plurality of user images; determining an AI modeling algorithm for processing the user image according to the user demand, and simulating user behavior data corresponding to the user demand based on the AI modeling algorithm; based on the user behavior data, training the twin digital person avatar to obtain an AI number homo having the user behavior. Therefore, the twin digital human avatar is trained based on the user behavior data simulated by the AI modeling algorithm, so that the accurate construction of the user behavior AI number homo sapiens is realized, insight and decision support are provided for the user, and the user is helped to make more scientific and accurate decisions and improvement measures.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a schematic flow chart of a method for constructing AI number wisdom provided by an embodiment of the invention;
FIG. 2 is a flowchart of another method for constructing AI number wisdom according to an embodiment of the invention;
fig. 3 is a schematic structural diagram of an AI-number homo sapiens construction apparatus according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative and intended to explain the present invention and should not be construed as limiting the invention.
The technical scheme of the invention is to acquire, store, use, process and the like data, which all meet the relevant regulations of national laws and regulations.
The following describes an AI-number homo sapiens construction method, apparatus, electronic device, and storage medium according to the embodiments of the present invention with reference to the accompanying drawings.
Fig. 1 is a flow chart of a method for constructing an AI-number homo sapiens according to an embodiment of the present invention.
As shown in fig. 1, the method comprises the steps of:
step 101, acquiring a plurality of user images containing different user characteristics, and constructing a twin digital human avatar of the user based on the plurality of user images.
Alternatively, the user images of different user features may be user images photographed at different angles, but is not limited thereto.
Specifically, the AI-number homo sapiens can be manufactured by taking tens to tens of photos from different angles, the acquisition equipment can meet the requirements by taking photos (user images) through a mobile phone without using a professional camera array, the manufacturing threshold and cost of the AI-number homo sapiens can be remarkably reduced, and each user can quickly generate own twin digital human avatar.
Step 102, determining an AI modeling algorithm for processing the user image according to the user requirement, and simulating user behavior data corresponding to the user requirement based on the AI modeling algorithm.
Alternatively, the user requirements may be specific requirements or goals of AI-number wisdom in any business industry, which may include, but are not limited to, functionality, service objects, industry scenarios, and intended effects, as the embodiment is not specifically limited thereto.
Optionally, the AI modeling algorithm is based on deep learning, and needs to perform a great deal of user image training, extract real human features in the user image, simulate and generate user behavior data (face data details) not contained in the collected user image, and implement high-definition character scene construction based on a neuro-radiation field (neuro-radiation fields) implicit expression technology.
Step 103, training the twin digital person avatar based on the user behavior data to obtain the AI number homo sapiens having the user behavior.
Alternatively, the user behavior data may include, but is not limited to, user expression, action, emotion, language, and the embodiment is not particularly limited thereto.
Specifically, based on user behavior data, language bases, action bases, emotion bases and expression bases corresponding to the language, action, emotion and expression of a user are implanted into a twin digital person avatar, then the implantation effects of the language bases, the action bases, the emotion bases and the expression bases are automatically optimized and corrected through an algorithm, and finally an intelligent and automatic digital person driving effect is achieved, so that an AI number homo having the user behavior is obtained.
In some embodiments, after obtaining the AI-number wisdom possessing the user behavior, the AI-number wisdom may also be rendered by a graphics processor (GPU, graphicsProcessing Unit) to obtain the AI-number wisdom possessing the user color.
After obtaining the AI-number wisdom possessing the user behavior, the developed AI-number wisdom can be deployed into an industry scene corresponding to the user requirement to perform AI-number wisdom test and verification. The tests and verification may include functional tests, performance tests, safety tests, etc., to ensure stable operation of the AI number homo sapiens and to meet the expected effect.
In addition, after the AI number wisdom possessing the user behavior is obtained, the AI number wisdom can be obtained, and the AI number wisdom is applied to the number wisdom behavior data generated in the industry scene corresponding to the user requirement; according to the difference between the behavior data of the number wisdom people and the preset behavior effect, the AI number wisdom people are optimized, and timely adjusted and improved so as to continuously improve the performance and effect of the AI number wisdom people.
According to the AI number homo sapiens construction method, a plurality of user images containing different user characteristics are obtained, and a twin digital person avatar of a user is constructed based on the plurality of user images; determining an AI modeling algorithm for processing the user image according to the user demand, and simulating user behavior data corresponding to the user demand based on the AI modeling algorithm; based on the user behavior data, training the twin digital person avatar to obtain an AI number homo having the user behavior. Therefore, the twin digital human avatar is trained based on the user behavior data simulated by the AI modeling algorithm, so that the accurate construction of the user behavior AI number homo sapiens is realized, insight and decision support are provided for the user, and the user is helped to make more scientific and accurate decisions and improvement measures.
For clarity of explanation of the above embodiment, fig. 2 is a flow chart of another method for constructing AI-number wisdom provided in the embodiment of the invention.
Step 201, obtaining a plurality of user images containing different user characteristics, and constructing a twin digital human avatar of the user based on the plurality of user images.
It should be noted that, regarding the specific implementation of step 201, reference may be made to the related description in the above embodiment.
Step 202, selecting user basic feature information data in a user image based on user requirements.
Optionally, according to the user requirement, performing feature engineering and feature selection on the information data in the user image, and extracting and selecting features related to the user requirement to obtain the user basic feature information data.
In addition, after the user basic feature information data is obtained, the user basic feature information data can be preprocessed, wherein the preprocessing comprises the steps of data cleaning, abnormal value removal, missing value filling and the like on the user basic feature information data so as to ensure the accuracy and the integrity of the data; the preprocessing also comprises the processes of transformation, normalization, dimension reduction and the like on the basic characteristic information data of the user so as to improve the training effect and generalization capability of the AI number homo sapiens.
Step 203, an AI modeling algorithm is selected to process the user basic feature information data based on the user basic feature information data.
Optionally, an AI modeling algorithm for processing the user basic feature information data is selected, such as a machine learning-based model (e.g., XGBoost, random forest, etc.) or a deep learning-based model (e.g., neural network, convolutional neural network, etc.), according to the user's needs and the data characteristics of the user basic feature information data. And training the selected AI modeling algorithm by using the user basic characteristic information data, adjusting parameters of the AI modeling algorithm, and optimizing the performance of the AI modeling algorithm.
Step 204, modeling user behavior data corresponding to the user requirements based on the AI modeling algorithm.
Alternatively, the AI modeling algorithm can include, but is not limited to, natural language processing, multimodal emotion analysis techniques, multi-level attention mechanisms, multimodal human-computer interaction techniques.
Specifically, the language, expression and action of the user can be simulated through natural language processing (Transformer), a multi-level attention mechanism and a multi-modal man-machine interaction technology, and the emotion of the user can be simulated through a multi-modal emotion analysis technology.
Step 205, training the twin digital person avatar based on the user behavior data to obtain the AI number homo having the user behavior.
According to the AI number homo sapiens construction method, a plurality of user images containing different user characteristics are obtained, and a twin digital person avatar of a user is constructed based on the plurality of user images; selecting user basic feature information data in a user image based on user requirements; selecting an AI modeling algorithm for processing the user basic feature information data based on the user basic feature information data; simulating user behavior data corresponding to user demands based on an AI modeling algorithm; based on the user behavior data, training the twin digital person avatar to obtain an AI number homo having the user behavior. Therefore, based on user behavior data simulated by an AI modeling algorithm corresponding to the user basic feature information data, the accurate construction of the user behavior AI number wisdom is realized, the AI number wisdom helps the industry scene corresponding to the user demand to evaluate and calculate data by simulating various user demands, development direction suggestions are provided, and meanwhile risk control capability is improved.
In order to realize the embodiment, the invention also provides a device for constructing the AI number homo sapiens.
Fig. 3 is a schematic structural diagram of an AI-number homo sapiens construction apparatus according to an embodiment of the present invention.
As shown in fig. 3, the AI-number homo sapiens construction apparatus 30 includes: the building block 31, the simulation block 32 and the training block 33.
A construction module 31, configured to acquire a plurality of user images including different user features, and construct a twin digital avatar of the user based on the plurality of user images;
the simulation module 32 is configured to determine an AI modeling algorithm for processing the user image according to a user requirement, and simulate user behavior data corresponding to the user requirement based on the AI modeling algorithm;
the training module 33 is configured to train the twin digital avatar based on the user behavior data to obtain an AI-number homo sapiens having user behaviors.
Further, in one possible implementation of the embodiment of the present invention, the simulation module 32 is specifically configured to:
selecting user basic feature information data in a user image based on user requirements;
selecting an AI modeling algorithm for processing the user basic feature information data based on the user basic feature information data;
and simulating user behavior data corresponding to the user requirements based on the AI modeling algorithm.
Further, in a possible implementation manner of the embodiment of the present invention, the apparatus further includes:
and the rendering module is used for rendering the AI number wisdom through the graphic processor so as to obtain the AI number wisdom with the user color.
Further, in a possible implementation manner of the embodiment of the present invention, the apparatus further includes:
the acquisition module is used for acquiring the digital wisdom behavior data generated in the industry scene corresponding to the user demand by applying the AI digital wisdom;
and the optimizing module is used for optimizing the AI number wisdom people according to the difference between the number wisdom people behavior data and the preset behavior effect.
It should be noted that the foregoing explanation of the method embodiment is also applicable to the apparatus of this embodiment, and will not be repeated here.
The AI number homo sapiens construction device of the embodiment of the invention obtains a plurality of user images containing different user characteristics, and constructs a twin digital person avatar of a user based on the plurality of user images; determining an AI modeling algorithm for processing the user image according to the user demand, and simulating user behavior data corresponding to the user demand based on the AI modeling algorithm; based on the user behavior data, training the twin digital person avatar to obtain an AI number homo having the user behavior. Therefore, the twin digital human avatar is trained based on the user behavior data simulated by the AI modeling algorithm, so that the accurate construction of the user behavior AI number homo sapiens is realized, insight and decision support are provided for the user, and the user is helped to make more scientific and accurate decisions and improvement measures.
In order to achieve the above embodiment, the present invention further provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the aforementioned method.
To achieve the above embodiments, the present invention also proposes a non-transitory computer-readable storage medium storing computer instructions for causing the computer to execute the aforementioned method.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present invention in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order from that shown or discussed, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present invention.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in a hardware manner or in a software functional module manner. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (10)
1. A method for constructing an AI number homo sapiens, the method comprising:
acquiring a plurality of user images containing different user characteristics, and constructing a twin digital human avatar of the user based on the plurality of user images;
determining an AI modeling algorithm for processing the user image according to the user demand, and simulating user behavior data corresponding to the user demand based on the AI modeling algorithm;
and training the twin digital person avatar based on the user behavior data to obtain the AI number homo sapiens with the user behavior.
2. The method of claim 1, wherein determining an AI modeling algorithm for processing the user image according to a user requirement, and modeling user behavior data corresponding to the user requirement based on the AI modeling algorithm, comprises:
selecting user basic feature information data in a user image based on user requirements;
selecting an AI modeling algorithm for processing the user basic feature information data based on the user basic feature information data;
and simulating user behavior data corresponding to the user requirements based on the AI modeling algorithm.
3. The method according to claim 1, characterized in that the method further comprises:
and rendering the AI number wisdom through a graphic processor to obtain the AI number wisdom with the user color.
4. The method according to claim 1, characterized in that the method further comprises:
acquiring digital wisdom behavior data generated by applying the AI digital wisdom to an industry scene corresponding to the user demand;
and optimizing the AI number wisdom according to the difference between the number wisdom behavior data and the preset behavior effect.
5. An AI-number wisdom building apparatus, comprising:
the construction module is used for acquiring a plurality of user images containing different user characteristics and constructing a twin digital human avatar of the user based on the user images;
the simulation module is used for determining an AI modeling algorithm for processing the user image according to the user requirement and simulating user behavior data corresponding to the user requirement based on the AI modeling algorithm;
and the training module is used for training the twin digital person avatar based on the user behavior data so as to obtain the AI digital person with user behaviors.
6. The apparatus of claim 5, the simulation module being specifically configured to:
selecting user basic feature information data in a user image based on user requirements;
selecting an AI modeling algorithm for processing the user basic feature information data based on the user basic feature information data;
and simulating user behavior data corresponding to the user requirements based on the AI modeling algorithm.
7. The apparatus of claim 5, wherein the apparatus further comprises:
and the rendering module is used for rendering the AI number wisdom through the graphic processor so as to obtain the AI number wisdom with the user color.
8. The apparatus of claim 5, wherein the apparatus further comprises:
the acquisition module is used for acquiring the digital wisdom behavior data generated in the industry scene corresponding to the user demand by applying the AI digital wisdom;
and the optimizing module is used for optimizing the AI number wisdom people according to the difference between the number wisdom people behavior data and the preset behavior effect.
9. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-4.
10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-4.
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| CN116109780A (en) * | 2023-03-10 | 2023-05-12 | 上海学深智能科技有限公司 | Method and system for generating various drivable three-dimensional digital human head models |
| CN116309997A (en) * | 2023-03-10 | 2023-06-23 | 地球山(北京)科技有限公司 | Digital human action generation method, device and equipment |
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