DevOps
fromMedium
1 week agoPractical AgentOps: Getting Started with MLflow 3
MLflow 3.0 enhances generative AI support while ensuring compatibility with traditional ML workflows.
By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges, offering faster adaptation to new domains and changing business policies. Databricks' Mosaic AI Research team has added a new framework, MemAlign, to MLflow, its managed machine learning and generative AI lifecycle development service. MemAlign is designed to help enterprises lower the cost and latency of training LLM-based judges, in turn making AI evaluation scalable and trustworthy enough for production deployments.