LLMOps, or Large Language Model Operations, is crucial for managing the lifecycles of LLMs in production.
LLMOps involves special considerations like prompt engineering, hallucination prevention, context-window constraint, and dynamic feedback loops.
Proper LLMOps management is essential for supporting the launch of AI-native apps and addressing issues like prompt drift and the need for accurate user feedback loops.
LLMOps is vital for ensuring reliable, scalable, and compliant AI solutions, from design to retirement, in various applications like contract analyzers, compliance bots, and support agents.