Method of training model, device, and storage medium
US12223275B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 22, 2021 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Aug 26, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of training a model, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence, and in particular to a field of reinforcement learning, NLP, etc. The method includes: acquiring a dialogue information; obtaining a predicted information based on the dialogue information by using a first intention recognition model, a first recurrent neural network and a first named entity recognition model; obtaining a machine behavior information based on the predicted information by using a first behavior decision model; acquiring a feedback information for the machine behavior; storing at least one of the predicted information, the machine behavior information, or the feedback information as training data in a database; and performing a model optimization training online based on the training data by using a reinforcement learning algorithm, in response to an amount of the training data reaching a preset data amount.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.