mirror of
				https://github.com/rasbt/LLMs-from-scratch.git
				synced 2025-11-03 19:30:26 +00:00 
			
		
		
		
	* typo fix * Update ch03/02_bonus_efficient-multihead-attention/mha-implementations.ipynb * Update ch03/02_bonus_efficient-multihead-attention/mha-implementations.ipynb * Update ch03/02_bonus_efficient-multihead-attention/mha-implementations.ipynb --------- Co-authored-by: Sebastian Raschka <mail@sebastianraschka.com>
Chapter 3: Coding Attention Mechanisms
Main Chapter Code
- 01_main-chapter-code contains the main chapter code.
 
Bonus Materials
- 02_bonus_efficient-multihead-attention implements and compares different implementation variants of multihead-attention
 - 03_understanding-buffers explains the idea behind PyTorch buffers, which are used to implement the causal attention mechanism in chapter 3