Navigating ML and LLMs

This chapter examines the evolving landscape of machine learning, focusing on the shift towards large language models while acknowledging the ongoing value of classical techniques. It addresses the challenges companies encounter in effectively applying LLMs and the importance of structured data retrieval to enhance performance in practical applications. The discussion also highlights innovative concepts like feature stores and the role of caching in improving efficiency within reinforcement learning workflows.