Distillation techniques allow enterprises to access the full predictive power of large language models at a tiny fraction of their cost.
Snorkel AI’s Enterprise LLM Virtual Summit drew 1,000 attendees with speakers from Contextual AI, Google, Meta, Stanford, and Together AI.
Insurance claims processing has long required a lot of tedious and expensive human labor, but artificial intelligence (AI) can help.
Gideon Mann, head of ML Product and Research at Bloomberg LP, chatted with Snorkel CEO Alex Ratner about building BloombergGPT.
Snorkel Flow makes it easy to fine tune LLMs like GPT-3.5 Turbo to work better for specific domain and enterprise requirements.
Sessions at the Future of Data-Centric AI covered LLMs, gen AI, and more. All recordings are now publicly available. See them here!
Most data science leaders expect to customize LLMS, but the process of making LLMs work for your business is still a fresh challenge.
Ai and ML offer new avenues for credit scoring solutions and could usher in a new era of fairness, efficiency, and risk management.
Data labeling remains a core requirement for machine learning projects—especially in the age of genAI and LLMs. Here’s a handy guide.
