Latest posts

• Scaling human preferences in AI: Snorkel’s programmatic approach
  January 31, 2024Hoang Tran
  - 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
  January 30, 2024Chris Glaze
  - 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
  January 26, 2024Matt Casey
  - 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
  January 25, 2024Alex Taylor, Lynn Thompson and Daniel Wypler – QBE Ventures
  - 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
  January 24, 2024Cate Lochead, CMO
  - 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
  January 16, 2024Snorkel Team
  - 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
  January 9, 2024Nick Harvey
  - 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
  January 9, 2024Hiromu Hota
  - The Databricks Model Registry integration equips Snorkel Flow users to automatically register custom, use case-specific models. ...