Learning to Recover from LLM Agent Failures at Test Time
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A framework for continual learning and recursive self-improvement through harness adapter evolution.
OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
- deep-learning
- llm-agents
- optimizer
- pytorch