Decoding the Black Box: Unlocking LLM Observability

LLMs are revolutionizing AI, but their complexity and black-box nature can make it challenging to understand their behavior and ensure optimal performance. This session will demystify LLM observability, providing practical insights and best practices for gaining visibility into LLM interactions, performance, and security. Learn how to: discover the essential metrics to monitor for LLM health and performance, implement effective logging and tracing strategies to track LLM requests and identify bottlenecks, optimize LLM inference performance using profiling techniques, proactively detect and respond to LLM issues with tailored alerts, and protect sensitive LLM data and meet regulatory requirements. Join Monalisha to unlock the full potential of your LLM applications through effective observability.