Nupur Sharma

This talk explores the counterintuitive finding that providing more context to AI agents can sometimes lead to dumber or less effective results. The core thesis is that current LLMs tend to focus on the initial and final parts of a given context, often ignoring or "purging" information in the middle. This phenomenon, termed the "U-curve" effect, necessitates a shift from simply dumping more data to optimizing context strategically.