Databricks adds MemAlign to MLflow to cut cost and latency of LLM evaluation
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. The new framework, according to…