All terms
Frameworks & Tools
MLOps
The tools and practices for deploying, monitoring, and maintaining ML models in production.
Definition
MLOps (machine learning operations) is the set of tools and practices for reliably deploying, monitoring, and maintaining machine-learning models in production. It borrows from software DevOps to handle data pipelines, model versioning, testing, and retraining. LLMOps is a newer offshoot focused on large language models.