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10:45 AM PDT
1:45 PM EDT

Discriminative AI using Weak Supervision and LLM’s

I would like to present how to use weak supervision, LLM's, and embeddings for Discriminative AI like approving a loan or a medical procedure pre-certification. Typically we use statistical methods for such classification tasks working on a structured dataset. In this demo, I will train a classifier that will make decisions from unstructured text (Doctor/Clinical PA notes, Plan Benefit document etc). We bring in reasoning/embeddings from LLM's and use it as a labeling function along with other heuristics/dictionaries for classification. Data-Centric AI.


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