Kim and Suzuki (2024) theoretically showed that for Transformers with both MLP and attention layers, assuming rapid convergence of attention layers, the infinite-dimensional loss landscape for MLP parameters exhibits a benign non-convex 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)

• Transformers concept