Latest posts
- Two approaches to distill LLMs for better enterprise value
- 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
- 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
- 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
- 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
- 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
- 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!
- 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
- Most data science leaders expect to customize LLMS, but the process of making LLMs work for your business is still a fresh challenge. ...
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