The paper 'Separations in the representational capabilities of transformers and recurrent architectures' demonstrates that there are distinct differences in the representational power between transformer-based models and recurrent neural network architectures.

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 models concept