Linearized Attention

Definitions

1. An approach to making attention mechanisms more computationally efficient by approximating or restructuring them so cost scales more favorably with sequence length. Linearized attention methods are explored for handling longer contexts with lower resource use.

   In plain English: A more efficient form of attention designed to handle long sequences better.

   Example: "The research prototype used linearized attention to experiment with much longer sequences than standard quadratic attention would allow."

Related Terms

• Batch Inference
• Mixture of Depths
• Multi-Head
• Parameter Efficient
• Parameter Sharing
• Prompt Compression
• Sparse Model
• Token Merging
• Window Attention