MLOps

Amazon Web Services released AgentCore Optimization in preview, introducing an automated performance loop that generates configuration recommendations from production traces, validates them through batch evaluation and A/B testing, and enables continuous agent optimization. The system targets the quality drift problem where AI agents degrade as models evolve and user behavior shifts.

Amazon Web Services has released agent-guided workflows in SageMaker AI that use AI coding agents to automate model customization. The feature includes nine pre-built skills covering use case definition, data preparation, fine-tuning technique selection (SFT, DPO, RLVR), evaluation, and deployment to Amazon Bedrock or SageMaker endpoints.