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On November 4, Oumi announced FAiE (Frontier AI Engineer), an agent that automates end-to-end agent development: defining objectives, tools, environments, evaluations, data curation, training, deployment, and monitoring. Teams can build agents in Oumi or connect existing orchestration through Bring Your Own Harness for evaluation and model training. The loop turns production failures into evaluation sets and training data. Beyond supervised fine-tuning, Oumi adds direct preference optimization (DPO) and reinforcement learning through GRPO in private preview. FAiE asks for approval before costly or side-effect actions such as training jobs, deployments, deletes, and outbound tool calls. Source: oumi.ai/product-launch/fall26 and docs.oumi.ai/guides/intro/faie.
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