Devices, methods, and medium for communication
AssigneeNEC Corporation
InventorsWei CHEN, Zhen HE, Peng GUAN, Rao SHI, Gang WANG
Life of this patent
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Abstract
Example embodiments of the present disclosure relate to a solution for training dataset acquiring for an artificial intelligence/machine learning (AI/ML) model. In this solution, a first communication device transmits, to at least one second communication device, first information related to at least one training dataset with at least one data size for an impact factor that affects generalization capability of an AI/ML model. The first communication device acquires the at least one training dataset for training or fine-tuning the AI/ML model.
Claims20
A first communication device comprising:
- a processor configured to cause the first communication device to:
- transmit, to at least one second communication device, first information related to at least one training dataset with at least one data size for an impact factor that affects generalization capability of an artificial intelligence/machine learning (AI/ML) model;
- and
- acquire the at least one training dataset for training or fine-tuning the AI/ML model.
A second communication device comprising:
- a processor configured to cause the first communication device to:
- receive, from a first communication device, first information related to at least one training dataset with at least one data size for an impact factor that affects generalization capability of an artificial intelligence/machine learning (AI/ML) model;
- and
- cause the first communication device to acquire the at least one training dataset for training or fine-tuning the AI/ML model based on the first information.
A communication method comprising:
- transmitting, by a first communication device and to at least one second communication device, first information related to at least one training dataset with at least one data size for an impact factor that affects generalization capability of an artificial intelligence/machine learning (AI/ML) model;
- and
- acquiring the at least one training dataset for training or fine-tuning the AI/ML model.
A communication method comprising:
- receiving, by a second communication device and from a first communication device, first information related to at least one training dataset with at least one data size for an impact factor that affects generalization capability of an artificial intelligence/machine learning (AI/ML) model;
- and
- causing the first communication device to acquire the at least one training dataset for training or fine-tuning the AI/ML model based on the first information.
Dependencies are inferred from the claim text.