Building Recommender Systems with Large Language Models // Sumit Kumar // LLMs in Prod Con Part 2

// Abstract
Many researchers have recently proposed different approaches to building recommender systems using LLMs. These methods convert different recommendation tasks into either language understanding or language generation templates. This talk highlights some of the recent work done on this theme.

// Bio
Sumit works as an MLE at Meta in the Recommender Systems domain. Previously Sumit has worked in RecSys at TikTok, NLU at Amazon, and speech processing at Samsung.

abstract bio building highlights kumar language language generation language models language understanding large language large language models llms part prod recommendation recommender systems researchers systems talk understanding work