18640643. COMMUNICATION METHOD AND APPARATUS simplified abstract (HUAWEI TECHNOLOGIES CO., LTD.)
Contents
COMMUNICATION METHOD AND APPARATUS
Organization Name
Inventor(s)
Xiaomeng Chai of Shanghai (CN)
Yiqun Wu of Boulogne Billancourt (FR)
COMMUNICATION METHOD AND APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18640643 titled 'COMMUNICATION METHOD AND APPARATUS
The abstract describes a method and apparatus for communication involving training data and artificial intelligence models.
- Simplified Explanation:
The method involves obtaining training data with mark information, sending indication information about artificial intelligence models to a terminal device, and training the models based on the mark information.
- Key Features and Innovation:
- Obtaining N pieces of training data with mark information - Sending indication information about M artificial intelligence models to a terminal device - Training the models based on X pieces of training data determined by the mark information - Implementing scenario-based artificial intelligence model training
- Potential Applications:
- Enhancing communication methods with artificial intelligence models - Improving training data selection for AI models - Customizing AI model training based on different mark information
- Problems Solved:
- Efficient training of artificial intelligence models - Tailoring AI model training to specific attributes of training data - Enhancing scenario-based training for AI models
- Benefits:
- Improved accuracy and performance of AI models - Customized training based on mark information - Enhanced communication capabilities with AI technology
- Commercial Applications:
"Scenario-Based Artificial Intelligence Model Training for Enhanced Communication Methods"
- Questions about Scenario-Based Artificial Intelligence Model Training:
1. How does the method determine the pieces of training data for training the artificial intelligence models? 2. What are the potential implications of using scenario-based training for AI models?
- Frequently Updated Research:
Stay updated on advancements in artificial intelligence model training techniques and communication methods to enhance the effectiveness of this technology.
Original Abstract Submitted
A communication method and apparatus are provided. The method includes: obtaining N pieces of training data, where for one of the N pieces of training data, the training data corresponds to one piece of mark information, and the mark information indicates an attribute of the training data; and sending indication information to a terminal device, where the indication information indicates information about M artificial intelligence models, the artificial intelligence model is trained based on X pieces of training data in the N pieces of training data, and the X pieces of training data are determined based on the mark information. When the N pieces of training data are obtained, the N pieces of training data may be used for constructing training data corresponding to different mark information, to train the M artificial intelligence models or more artificial intelligence models, so that scenario-based artificial intelligence model training can be implemented.
