Weekly Demo
with Live Q&ASee a demo of Snorkel Flow for generative AI use cases such as RAG optimization and LLM fine-tuning, and chat with one of our machine learning solution engineers.
Each week, we’ll show you (step by step) how Snorkel Flow is used to support a different AI use case, whether it’s classifying chatbot utterances or fine-tuning a RAG embedding model.
We’ll be happy to answer any questions about the demo, Snorkel Flow and what we’re seeing in enterprise AI.
Meet Our ML Engineers
Interact with us in a live Q&A

Vignesh Ramesh
Machine Learning Solutions Engineer,
Snorkel AI

Haley Massa
ML Solutions Engineer,
Snorkel AI

Bryan Wood
Principal ML Solutions Engineer,
Snorkel AI (ex Bank of America)

Chris Borg
Solutions Engineer,
Snorkel AI
Upcoming Demos
Fine-tuning embedding models
Evaluating LLMs for domain-specific use cases
Classifying chatbot utterances
Optimizing RAG retrieval
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