Continual Learning for AI Agents: From Failures to Durable Improvements - Soheil Feizi, RELAI
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YouTubeAI Engineer
Continual Learning for AI Agents: From Failures to Durable Improvements - Soheil Feizi, RELAI
Agents fail in production in ways that static benchmarks cannot fully capture. The key question is whether they can learn from those experiences without drifting or breaking prior capabilities. This talk introduces verifiable continual learning for AI agents: a framework for converting traces, failures, and feedback into testable, regression ...
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