Search result for:
Fred Sala
Title: Chief Scientist
Company: SnorkelAI
Bio
Frederic Sala is Chief Scientist at Snorkel AI and an assistant professor in the Computer Sciences Department at the University of Wisconsin-Madison. His research studies the fundamentals of data-driven systems and machine learning, with a focus on foundation models, automated machine learning, learning with limited data. Previously, he was a postdoctoral researcher at Stanford. He received his Ph.D. in electrical engineering from UCLA.
The latest from
Fred Sala
Building the Benchmark: Inside Our Agentic Insurance Underwriting Dataset
In this post, we unpack how Snorkel built a realistic benchmark dataset to evaluate AI agents in commercial insurance underwriting. From expert-driven data design to multi-tool reasoning tasks, see how our approach surfaces actionable failure modes that generic benchmarks miss—revealing what it really takes to deploy AI in enterprise workflows.
AI alignment made simple: innovative solutions for businesses
AI alignment ensures that AI systems align with human values, ethics, and policies. Here’s a primer on how developers can build safer AI.
Walking safely before building flying saucer seatbelts: introducing Enterprise Alignment
Snorkel takes a step on the path to enterprise superalignment with new data development workflows for enterprise alignment
How Skill-it! enables faster, better LLM training
Humans learn tasks better when taught in a logical order. So do LLMs. Researchers developed a way to exploit this tendency called “Skill-it!”
4 new papers show foundation models can build on themselves
The surest way to improve foundation models is through more and better data, but Snorkel researchers showed FMs can learn from themselves.
Getting better performance from foundation models (with less data)
Getting better performance from foundation models (with less data)
Research
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