Solving the Last Mile Problem of Foundation Models with Data-Centric AI //Alex Ratner // LLM in Prod

This LLMs in Production Conference section is proudly sponsored by Snorkel AI.

// Abstract
Today, large language or “foundation” models (FMs) represent one of the most powerful new ways to build AI models; however, they still struggle to achieve production-level accuracy out of the box on complex, high-value, and/or dynamic use cases, often “hallucinating” facts, propagating data biases, and misclassifying domain-specific edge cases. This “last mile” problem is always the hardest part of shipping real AI applications, especially in the …

abstract accuracy ai applications ai models alex applications biases cases conference data data-centric edge enterprise facts foundation language llm llms part prod production shipping snorkel ai sponsored use cases value