Devansh Tandon

This talk details the adaptation of large language models (LLMs), specifically Gemini, for YouTube's recommendation system, aiming to improve user engagement for over 2 billion daily active users. The core thesis is that LLMs can revolutionize recommendation systems, potentially surpassing search applications in consumer impact. The approach involves creating a domain-specific language for videos and training a bilingual model capable of understanding both natural language and this new video token language.