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Alex Ratner
Title: Co-founder & CEO
Company: Snorkel AI
Bio
Alex Ratner is the co-founder and CEO at Snorkel AI, and an affiliate assistant professor of computer science at the University of Washington. Prior to Snorkel AI and UW, he completed his Ph.D. in computer science advised by Christopher Ré at Stanford, where he started and led the Snorkel open source project. His research focused on data-centric AI, applying data management and statistical learning techniques to AI data development and curation.
Alex's picks
Contrastive Learning boosts Foundation Model specialization
Snorkel AI co-founder and CEO Alex Ratner talks with Ananya Kumar about the work he did on improving the effectiveness of foundation models by using contrastive learning, image augmentations, and labeled subsamples.
CRFM’s HELM and enterprise LLM evaluation beyond accuracy
As Snorkel AI prepares to build better enterprise LLM evaluations, we spoke with Yifan Mail from Stanford’s CRFM HELM project.
Crossing the demo-to-production chasm with Snorkel Custom
We’re excited to announce Snorkel Custom to help enterprises cross the chasm from flashy chatbot demos to real production AI value.
The latest from
Alex Ratner
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
Crossing the demo-to-production chasm with Snorkel Custom
We’re excited to announce Snorkel Custom to help enterprises cross the chasm from flashy chatbot demos to real production AI value.
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.
Data-centric Foundation Model Development: Bridging the gap between foundation models and enterprise AI
Introducing new capabilities for Data-centric Foundation Model Development in Snorkel Flow Powerful new large language or foundation models (FMs) like GPT-3, Stable Diffusion, BERT, and more have taken the AI space by storm, going viral—even beyond technical practitioners—thanks to incredible capabilities around text generation, image synthesis, and more. However, enterprises face fundamental barriers to using these foundation models on real,…
Snorkel AI Raises $85m Series C at $1b Valuation for Data-Centric AI
We started the Snorkel project at the Stanford AI lab in 2015 around two core hypotheses:
Research
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