MLOps and LLMOps
Methods and tools for reliably developing, deploying, monitoring and improving AI models.
MLOps applies software engineering principles to AI: versioning of data and models, automated testing, deployment, monitoring and feedback loops. LLMOps adds topics such as prompt versions, evals and cost monitoring for language models.
Without such practices, AI projects often get stuck at the prototype stage or quietly deteriorate in operation.
General information, not legal or professional advice.