Weekly Demo

with Live Q&A
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See 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

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Vignesh Ramesh

Machine Learning Solutions Engineer,
Snorkel AI

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Haley Massa

ML Solutions Engineer,
Snorkel AI

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Bryan Wood

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

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Chris Borg

Solutions Engineer,
Snorkel AI

Upcoming Demos

| Sign up for one or for all in the form below

Evaluating LLMs for domain-specific use cases

We'll demonstrate how to create an LLM evaluation that is specialized for a specific domain and use case. We’ll combine ground truth, LLM-as-a-judge, and labeling functions to identify where and why the model may be responding poorly.
February 26 2025
10-10:30 AM PT

Classifying chatbot utterances

We’ll create a predictive model for classifying the intent of chatbot utterances by applying labeling functions to sample conversations and creating high-quality training data.
March 12 2025
10-10:30 AM PT

Optimizing RAG retrieval

See how we create labeled question/context/answer triplets and document metadata, and use them to fine-tune the embedding model and chunk retrieval.
March 19 2025
10-10:30 AM PT

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