LLM Evaluation: Challenges and Best Practices - MLOps Podcast #210
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the intricacies of Language Model (LLM) evaluation in this 56-minute podcast featuring Aparna Dhinakaran, Co-Founder and Chief Product Officer of Arize AI. Delve into the complexities of LLM assessment, the significance of the Phoenix evaluations library, and the importance of tailored evaluations in software applications. Examine the nuances of AI fine-tuning, debate the merits of open-source versus private models, and understand the urgency of deploying models into production for early bottleneck identification. Learn about the relevance of retrieved information, output legitimacy, and the operational advantages of Phoenix in supporting LLM evaluations. Gain insights from Dhinakaran's extensive experience in ML infrastructure and AI observability as she discusses real-world challenges and solutions in LLM implementation and evaluation.