Associative recall of memory without errors

DART architecture enhances long-context sequence modeling by merging Transformers and SSMs

Researchers have introduced DART (Decoded Attention over Recurrent States), a novel architecture that combines the strengths of Transformers and State Space Models (SSMs) for efficient long-context sequence modeling. DA…