Foundation Models in the Modern Data Stack // Ines Chami // LLMs in Prod Conference Part 2

// Abstract
As Foundation Models (FMs) continue to grow in size, innovations continue to push the boundaries of what these models can do on language and image tasks. This talk describes our work on applying foundation models to structured data tasks like data linkage, cleaning, and querying. We discuss the challenges and solutions that these models present for production deployment in the modern data stack.

// Bio
Ines Chami is the Chief Scientist and Co-Founder of Numbers Station. She received …

abstract conference data data stack foundation image innovations language llms modern modern data stack part prod stack structured data talk work