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How to let LLM acquire the Agentic Capability?
How to let LLM acquire the Agentic Capability?
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Previous answers are direct imitation learning by collecting agentic data such as tool calling history (inefficient and introduces format hallucination). 
Previous answers are direct imitation learning by collecting agentic data such as tool calling history (inefficient and introduces format hallucination). 
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Agent-FLAN tells a different view:
Agent-FLAN tells a different view:
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- Eliciting the foundational capability (e.g., reasoning, retrieval, and instruction following) is more important
- Eliciting the foundational capability (e.g., reasoning, retrieval, and instruction following) is more important
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- Using chat data is more effective with less side effects than tool calling history
- Using chat data is more effective with less side effects than tool calling history
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Dataset: 
Dataset: 
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https://huggingface.co/datasets/internlm/Agent-FLAN
dataset
internlm/Agent-FLAN
https://huggingface.co/datasets/internlm/Agent-FLAN
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HF Model: 
HF Model: 
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https://huggingface.co/internlm/Agent-FLAN-7b
model
internlm/Agent-FLAN-7b
https://huggingface.co/internlm/Agent-FLAN-7b
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Paper: 
Paper: 
resource
https://huggingface.co/papers/2403.12881
paper
2403.12881
https://huggingface.co/papers/2403.12881
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for
  Large Language Models (2403.12881)
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Project page：https://internlm.github.io/Agent-FLAN/
Project page：https://internlm.github.io/Agent-FLAN/
How to let LLM acquire the Agentic Capability?

Previous answers are direct imitation learning by collecting agentic data such as tool calling history (inefficient and introduces format hallucination). 
Agent-FLAN tells a different view:
- Eliciting the foundational capability (e.g., reasoning, retrieval, and instruction following) is more important
- Using chat data is more effective with less side effects than tool calling history

Dataset: https://huggingface.co/datasets/internlm/Agent-FLAN
HF Model: https://huggingface.co/internlm/Agent-FLAN-7b
Paper: https://huggingface.co/papers/2403.12881
Project page：https://internlm.github.io/Agent-FLAN/
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