Few-shot in-context learning (ICL) allows large language model-empowered agents to solve problems by utilizing provided examples within a prompt, thereby avoiding the need for explicit re-training of the model.

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• Person: Not available Organization: arXiv
  The Synergy of Symbolic and Connectionist AI in LLM-Empowered ...

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• The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org arXiv via serper
• The Synergy of Symbolic and Connectionist AI in LLM ... arxiv.org arXiv via serper

Referenced by nodes (1)

• Large Language Model Agents concept