Latest posts
- LoRA: Low-Rank Adaptation for LLMs - Low-rank adaptation (LoRA) lets data scientists customize GenAI models like LLMs faster than traditional full fine-tuning methods. ...
- LLM distillation demystified: a complete guide - LLM distillation isolates task-specific LLM performance and mirrors it in a smaller format—creating faster and cheaper performance. ...
- Enterprises must shift their focus from models to data in AI development - Snorkel AI CEO Alex Ratner explains his view on the importance of AI in data development and illustrates his position with two case studies. ...
- Insurance’s GenAI revolution: a business perspective - Snorkel CEO Alex Ratner talks with QBE Ventures' Alex Taylor about the future of AI, LLMs and multimodal models in the insurance industry. ...
- 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. ...
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