Monitoring LLMs in Production: Beyond the Hype - Part 2

Explore techniques for monitoring Large Language Models (LLMs) in production environments in this insightful conference talk by Claire Longo. Delve into the challenges of troubleshooting models based on unstructured data and learn about innovative approaches to measure vector and embedding drift for image and language models. Discover how to detect differences between unstructured language datasets and understand those differences using techniques like UMAP. Gain valuable insights from real-world testing across billions of streams and use cases, including the application of Euclidean and Cosine distance methods. Benefit from Longo's expertise as Head of ML Solutions Engineering at Arize and her experience in building and scaling central ML engineering teams at companies like Opendoor and Twilio.