Eugene Yan is a Member of Technical Staff at Anthropic who bridges recommendation systems and LLMs in production, and hosted the first-ever LLM x RecSys track at the AI Engineer World's Fair 2025. His session is valuable for practitioners who want to understand how RecSys and search are converging with LLM techniques like semantic IDs and data augmentation at scale, as well as practical patterns for building product and cybersecurity evals.

Recent talks (2)

AI Engineer World's Fair 2025 - LLM Recommendation Systems (RecSys) TrackAI Engineer World's Fair 2025 · Jun 2025Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMsAI Engineer World's Fair 2025 · Jul 2025

Public activity researched automatically · as of Jun 2026