Are LLMs the Future of Recommender Systems?

This course explores the potential of Large Language Models (LLMs) in revolutionizing recommender systems. By the end of the course, learners will understand the role of LLMs in enhancing recommendation algorithms, be able to evaluate the effectiveness of LLM-based recommenders, and implement LLMs in real-world applications. The course teaches skills such as working with LLM architectures, fine-tuning models for recommendation tasks, and evaluating recommender system performance. The teaching method involves a combination of theoretical lectures, practical demonstrations, and hands-on exercises. This course is intended for data scientists, machine learning engineers, and researchers interested in the intersection of natural language processing and recommender systems.