Recommendation systems and search have long adopted advances in language modeling, from early adoption of Word2vec for embedding-based retrieval to the transformative impact of GRUs, Transformers, and BERT on predicting user interactions. Now, the rise of large language models (LLMs) is inspiring innovations in model architecture, scalable system designs, and richer customer experiences. In this keynote, we'll dive into cutting-edge industry applications of LLMs in recommendation and search systems, explori ...