Type: url
Original: https://research.google/blog/react-synergizing-reasoning-and-acting-in-language-models/
Status: generated
Summary
The Google Research blog post in which the ReAct authors summarise their paper: a prompting paradigm that has a language model generate verbal reasoning traces interleaved with task-specific actions, so that thoughts update the model’s internal context while actions draw observations from an external environment. It reports results on four benchmarks against reasoning-only and acting-only baselines, a fine-tuning variant in which successful ReAct trajectories from PaLM-540B train smaller PaLM-8B/62B models, and a human-in-the-loop demonstration in which editing a hallucinating thought redirects the agent to complete a task it had failed.