Instruction tuning and reinforcement learning from human feedback (RLHF) are proposed methods applied on top of fine-tuning to ensure Large Language Models follow human instructions, align with human values, and exhibit desired behaviors.

Authors

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

Sources

• 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 (4)

• Large Language Models concept
• fine-tuning concept
• Reinforcement learning from human feedback (RLHF) concept
• instruction tuning concept