all AI news
Deterministic Quoting: Making LLMs Safe for Healthcare
May 7, 2024, 7:08 p.m. |
Simon Willison's Weblog simonwillison.net
Deterministic Quoting: Making LLMs Safe for Healthcare
Matt Yeung introduces Deterministic Quoting, a technique to help reduce the risk of hallucinations while working with LLMs. The key idea is to have parts of the output that are copied directly from relevant source documents, with a different visual treatment to help indicate that they are exact quotes, not generated output.
The AI chooses which section of source material to quote, but the retrieval of that text is a traditional non-AI …
ai documents generativeai hallucinations healthcare key llms making promptengineering rag reduce risk safe the key treatment visual while
More from simonwillison.net / Simon Willison's Weblog
Understand errors and warnings better with Gemini
1 day, 17 hours ago |
simonwillison.net
PSF announces a new five year commitment from Fastly
2 days, 2 hours ago |
simonwillison.net
Programming mantras are proverbs
2 days, 3 hours ago |
simonwillison.net
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US