In this conversation, Apoorva Joshi, a Senior AI Developer Advocate at MongoDB with a rich background in cybersecurity and machine learning, delves into the intricacies of evaluating LLM applications. He discusses strategies for optimizing performance through observability and monitoring, and the evolution of LLMs from text generation to complex multimedia tasks. Joshi also highlights the importance of tailored evaluations for specific industries and makes a case for democratizing these models for broader accessibility.