Dai et al. (2022) assert that Transformers implicitly fine-tune during in-context learning inference, building upon the dual form of the attention mechanism originally proposed by Aiserman et al. (1964) and Irie et al. (2022).

Authors

• Person: Not available Organization: arXiv
  A Survey on the Theory and Mechanism of Large Language Models

Sources

• A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv via serper

Referenced by nodes (2)

• Transformers concept
• attention mechanism concept