How to Systematically Test and Evaluate LLM Apps - MLOps Podcast
Explore a comprehensive podcast episode featuring Gideon Mendels, CEO of Comet, discussing systematic testing and evaluation of LLM applications. Gain insights into hybrid approaches combining ML and software engineering best practices, defining evaluation metrics, and tracking experimentation for LLM app development. Learn about comprehensive unit testing strategies for confident deployment, and discover the importance of managing machine learning workflows from experimentation to production. Delve into topics such as LLM evaluation methodologies, AI metrics integration, experiment tracking, collaborative approaches, and anomaly detection in model outputs. Benefit from Mendels' expertise in NLP, speech recognition, and ML research as he shares valuable insights for developers working with LLM applications.