Separate deployment of machine learning model and associated embedding
US11803752B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 2, 2021 |
| Grant date | Oct 31, 2023 |
| Priority date | — |
| Expiry date | Feb 2, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0499
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Implementations of the present specification provide a model-based prediction method and apparatus. The method includes: a model running environment receives an input tensor of a machine learning model; the model running environment sends a table query request to an embedding running environment, the table query request including the input tensor, to request low-dimensional conversion of the input tensor; the model running environment receives a table query result returned by the embedding running environment, the table query result being obtained by the embedding running environment by performing embedding query and processing based on the input tensor; and the model running environment inputs the table query result into the machine learning model, and runs the machine learning model to complete model-based prediction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.