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Trace: • The Rise and Potential of Large Language Model Based Agents: A Survey • How to Build a Data Analysis Agent
fireact_agent_finetuning

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fireact_agent_finetuning [2026/03/25 15:22] – Create FireAct page: multi-task agent fine-tuning enabling small models to rival GPT-4 agentfireact_agent_finetuning [2026/03/30 22:20] (current) – Restructure: footnotes as references agent
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 ====== FireAct: Toward Language Agent Fine-tuning ====== ====== FireAct: Toward Language Agent Fine-tuning ======
  
-FireAct is a fine-tuning approach that enables **smaller language models to perform agentic tasks at levels approaching GPT-4** by training on diverse trajectories generated by stronger models. Introduced by Chen et al. (2023), FireAct demonstrates that multi-task, multi-method trajectory data is the key to effective agent fine-tuning.+FireAct is a fine-tuning approach that enables **smaller language models to perform agentic tasks at levels approaching GPT-4** by training on diverse trajectories generated by stronger models. Introduced by Chen et al. (2023), FireAct demonstrates that multi-task, multi-method trajectory data is the key to effective agent fine-tuning.(([[https://arxiv.org/abs/2310.05915|Chen et al. (2023) - FireAct: Toward Language Agent Fine-tuning]]))(([[https://princeton-nlp.github.io/fireact/|FireAct Project Page (Princeton NLP)]]))(([[https://fireact-agent.github.io|FireAct Demo and Resources]]))
  
 ===== Overview ===== ===== Overview =====
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 trainer.train() trainer.train()
 </code> </code>
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-===== References ===== 
- 
-  * [[https://arxiv.org/abs/2310.05915|Chen et al. (2023) - FireAct: Toward Language Agent Fine-tuning]] 
-  * [[https://princeton-nlp.github.io/fireact/|FireAct Project Page (Princeton NLP)]] 
-  * [[https://fireact-agent.github.io|FireAct Demo and Resources]] 
  
 ===== See Also ===== ===== See Also =====
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   * [[retroformer|Retroformer: Policy Gradient Agent Optimization]]   * [[retroformer|Retroformer: Policy Gradient Agent Optimization]]
  
 +===== References =====
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