LLM Ops
LLM Ops (Large Language Model Operations) is a specialized discipline focused on the deployment, monitoring, maintenance, and scaling of large language models in production environments. It encompasses practices and tools to manage the lifecycle of LLMs, ensuring reliability, performance, and cost-efficiency. This includes tasks like model versioning, prompt engineering, performance tracking, and infrastructure management for AI applications.
Developers should learn LLM Ops when building or maintaining applications that rely on large language models, such as chatbots, content generators, or AI assistants, to handle real-world deployment challenges. It is crucial for ensuring models perform consistently, managing updates without downtime, and optimizing resource usage in cloud or on-premise setups. This skill helps mitigate issues like model drift, latency, and high operational costs in AI-driven systems.