Building Recommender Systems with Large Language Models
Offered By: MLOps.community via YouTube
Course Description
Overview
Explore the latest approaches to building recommender systems using Large Language Models (LLMs) in this 12-minute talk by Sumit Kumar, an MLE at Meta specializing in Recommender Systems. Discover how researchers are transforming various recommendation tasks into language understanding or generation templates. Gain insights into recent developments in this field and learn how LLMs are revolutionizing the way recommender systems are constructed. Benefit from Kumar's extensive experience in RecSys at TikTok, NLU at Amazon, and speech processing at Samsung as he shares valuable knowledge on integrating LLMs into production-ready recommender systems.
Syllabus
Building Recommender Systems with Large Language Models // Sumit Kumar // LLMs in Production
Taught by
MLOps.community
Related Courses
Semantic Web TechnologiesopenHPI أساسيات استرجاع المعلومات
Rwaq (رواق) 《gacco特別企画》Evernoteで広がるgaccoの学びスタイル (ga038)
University of Tokyo via gacco La Web Semántica: Herramientas para la publicación y extracción efectiva de información en la Web
Pontificia Universidad Católica de Chile via Coursera 快速学习
University of Science and Technology of China via Coursera