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DEMO
Weekly demo with Q&A
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.
Sign up for one or for all . . .
Select the one(s) you want on the form
July 10, 10-10:30 AM PT
Fine-tuning LLMs for enterprise alignment
We’ll create functions to label a set of compliant and non-compliant question/ answer pairs as approved or rejected, and use them to fine-tune an LLM.
July 17, 10-10:30 AM PT
Fine-tuning embedding models
We’ll create functions to extract information, structure and metadata from documents, and use them to fine tune an embedding model for RAG.
July 24, 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.
July 31, 10-10:30 AM PT
Optimizing RAG retrieval
We'll create labeled question/context/ answer triplets and document metadata, and use them to fine-tune the embedding model and chunk retrieval.