Retentive Network - A Successor to Transformer for Large Language Models

Retentive Network - A Successor to Transformer for Large Language Models

Yannic Kilcher via YouTube Direct link

- Intro

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1 of 7

- Intro

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Retentive Network - A Successor to Transformer for Large Language Models

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  1. 1 - Intro
  2. 2 - The impossible triangle
  3. 3 - Parallel vs sequential
  4. 4 - Retention mechanism
  5. 5 - Chunkwise and multi-scale retention
  6. 6 - Comparison to other architectures
  7. 7 - Experimental evaluation

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