System and method for utilizing weak learners on large language models
US12387057B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jun 9, 2023 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Mar 11, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method includes converting tabular data to a text representation, generating metadata associated with the text representation of the tabular data, outputting one or more natural language data descriptions indicative of the tabular data in response to utilizing a large language model (LLM) and zero-shot prompting of the metadata and text representation of the tabular data, outputting one or more summaries utilizing the LLM and appending a prompt on the one or more natural language data descriptions, selecting a single summary of the one or more summaries in response to the single summary having a smallest validation rate, receiving a query associated with the tabular data, outputting one or more predictions associated with the query, and in response to meeting a convergence threshold with the one or more predictions generated from the one or more iterations, output a final prediction associated with the query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.