Instruction Tuning is a method used to align Large Language Models (LLMs) with human expectations, though it requires a substantial amount of training samples and currently lacks a perfect quantifiable method to measure the 'instruction following' nature of the models.

Authors

• Person: Not available Organization: arXiv
  Building Trustworthy NeuroSymbolic AI Systems - arXiv

Sources

• Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org arXiv via serper

Referenced by nodes (2)

• Large Language Models concept
• instruction tuning concept