Latest posts

• Two approaches to distill LLMs for better enterprise value
  October 31, 2023Jason Fries
  - Distillation techniques allow enterprises to access the full predictive power of large language models at a tiny fraction of their cost. ...
• Enterprise LLM Summit highlights the importance of data development
  October 27, 2023Matt Casey
  - Snorkel AI's Enterprise LLM Virtual Summit drew 1,000 attendees with speakers from Contextual AI, Google, Meta, Stanford, and Together AI. ...
• How Wayfair accelerated product tagging automation with Snorkel Flow
  October 23, 2023Nick Harvey
  - Wayfair built a data-centric AI development workflow to help improve automated catalog tagging across their products With Snorkel Flow. ...
• How AI-powered claims processing creates new efficiencies in insurance
  October 18, 2023Snorkel Team
  - Insurance claims processing has long required a lot of tedious and expensive human labor, but artificial intelligence (AI) can help. ...
• Bloomberg’s Gideon Mann on the power of domain specialist LLMs
  October 17, 2023Snorkel Team
  - Gideon Mann, head of ML Product and Research at Bloomberg LP, chatted with Snorkel CEO Alex Ratner about building BloombergGPT. ...
• How to fine-tune GPT-3.5 Turbo in Snorkel Flow
  October 13, 2023Hoang Tran
  - Snorkel Flow makes it easy to fine tune LLMs like GPT-3.5 Turbo to work better for specific domain and enterprise requirements. ...
• Watch all Future of Data-Centric AI 2023 videos now!
  October 12, 2023Snorkel Team
  - Sessions at the Future of Data-Centric AI covered LLMs, gen AI, and more. All recordings are now publicly available. See them here! ...
• Standard LLMs are not enough. How to make them work for your business
  October 6, 2023Kristina Liapchin
  - Most data science leaders expect to customize LLMS, but the process of making LLMs work for your business is still a fresh challenge. ...