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Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Recommender Systems Courses Artificial Intelligence Courses Machine Learning Courses Prompt Engineering Courses Information Retrieval Courses

Course Description

Overview

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Explore the potential of Large Language Models (LLMs) in enhancing recommendation systems through tool learning in this 15-minute conference talk presented at SIGIR 2024. Delve into the innovative approach proposed by authors Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, and Maarten de Rijke as they discuss how LLMs can be empowered to perform recommendation tasks autonomously. Gain insights into the integration of prompts, instructions, and LLMs in recommender systems, and discover how this novel technique aims to revolutionize personalized content delivery and user experience.

Syllabus

SIGIR 2024 T2.5 [fp] Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning


Taught by

Association for Computing Machinery (ACM)

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