Jiang and Li (2024) derived Jackson-type approximation bounds for Transformers by introducing new complexity measures to construct approximation spaces, showing that Transformers approximate efficiently when the temporal dependencies of the target function exhibit a low-rank structure.

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)

• Transformer concept