Researchers from Google have developed a ReAct-style LLM agent that can efficiently respond to intricate queries by utilizing external tools or APIs. The agent improves performance on difficult compositional question-answering benchmarks through iterative fine-tuning and stepwise AI feedback. The agent can be effectively reduced to smaller models while maintaining comparable performance.
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