Building AI Products on the Right Foundations
A small talk where practitioners from data and AI engineering discuss what makes data ready for AI products, how to handle unstructured documents and transcripts, and how to measure quality without a schema. AI summary of the listing
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About
For the last couple of years most of the AI conversation has been about models: which one to use, how to prompt it, how to wrap it in an agent. As more of those products reach real users, the conversation inside teams is shifting to what the model is actually working with. An AI product is only as good as the data feeding into it. A support agent is only as useful as the tickets and call transcripts behind it. A…
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