360Brew: A Decoder-only Foundation Model for Personalised Ranking and Recommendation

Review a 15-minute paper analysis of "360Brew: A Decoder-only Foundation Model for Personalised Ranking and Recommendation" presented by Aladdin Persson. Explore this academic research that examines how decoder-only foundation models can be applied to personalized recommendation systems. Gain insights into cutting-edge approaches that combine recommendation systems with large language model architectures, relevant for those interested in data science, machine learning, deep learning, AI, and recommendation systems.