Cheng et al. (2023) and Collins et al. (2024) explored the ability of Transformers to learn a wider range of nonlinear functions, extending considerations beyond linear attention settings.

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 (1)

• Transformers concept