Agentic workflow system and method for generating synthetic data for training or post training artificial intelligence models to be aligned with domain-specific principles
US12293272B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 2, 2025 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Jan 2, 2045 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An agentic workflow system and method generate question and answer pairs and prompts that may be used to aligns generative artificial intelligence (a large language model (LLM) or a large multimodal model (LMM)) with the principles of a specific domain so that the generative artificial intelligence is better able to respond to a user query in the specific domain. The system and method may also generate aligning processes that may be used to post-train an already trained generative artificial intelligence system or fine tune the training of the generative artificial intelligence system to align that generative artificial intelligence system with the principles of the specific domain. The system and method may be used to align the generative artificial intelligence system to a plurality of different domains.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.