LLM Ops: Tools that accelerate your LLM journey

About this talk

Large Language Models (LLMs) have moved from research to production at a rapid pace, but managing them effectively requires more than just model selection. Much like DevOps and MLOps, LLM Ops has emerged as a discipline focused on the end-to-end lifecycle of LLMs - from development and testing to deployment and monitoring. In this talk, we will share practical insights and lessons learned from implementing LLM Ops in real environments. we’ll highlight the challenges of complex workflow development, prompt evaluation, and system observability - and show the tools that helped us solve them like LangChain, PromptFoo or LangSmith. This session will provide actionable guidance for anyone building with LLMs on how to accelerate their own LLM projects while avoiding common pitfalls.