Announcement
MIT's fall 2026 course explores AI systems that improve after training
MIT's course page outlines four areas: context, agent harnesses, models and increasingly complex synthetic tasks.
TLDR
MIT's course page describes a fall 2026 class on self-evolving AI systems that can improve through experience, feedback, memory and exploration. It covers prompt optimization, tools and multi-agent workflows, model-training methods, and the creation of more complex tasks and evaluations. Instructor Paul Liang says slides, readings and videos are available online.
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