Latest posts
- Scaling human preferences in AI: Snorkel’s programmatic approach - We've developed new approaches to scale human preferences and align LLM output to enterprise users’ expectations by magnifying SME impact. ...
- Building better enterprise AI: incorporating expert feedback in system development - Enterprises that aim to build valuable GenAI applications must view them from a systems-level. LLMs are just one part of an ecosystem. ...
- “Fall in love with your data”—Snorkel AI’s Enterprise LLM Summit - Snorkel AI’s Jan. 25 Enterprise LLM Summit focused on one theme: AI data development drives enterprise AI success. ...
- Why QBE Ventures invested in Snorkel AI - QBE Ventures made a strategic investment in Snorkel AI because it provides what Insurers need: scalable and affordable ways to customize AI. ...
- New benchmark results demonstrate value of Snorkel AI approach to LLM alignment - Snorkel researchers' state-of-the-art methods created a 7B LLM that ranked 2nd, behind only GPT-4 Turbo, on AlpacaEval 2.0 leaderboard. ...
- Retrieval-augmented generation (RAG): a conversation with its creator - Snorkel CEO Alex Ratner spoke with Douwe Keila, an author of the original paper about retrieval augmented generation (RAG). ...
- Snorkel Flow 2023.R4: enhanced UI + PDF and Databricks tools - New unified prompting UI + RAG features, PDF annotation, Databricks MLflow integration, Snorkel Flow Studio, and datasets load 2x faster! ...
- How Snorkel Flow users can register custom models to Databricks - The Databricks Model Registry integration equips Snorkel Flow users to automatically register custom, use case-specific models. ...
Results: 41 - 48 of : 272