Comments (1)
Ah yes, thanks. I think I used the code for generating the figure in the chapter and then forgot to remove it from the notebook. I just cleaned it up!
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Related Issues (20)
- In 3.3.1, there seems to be a missing image between "The attention weights and context vector calculation are summarized in the figure below:" and "The code below walks through the figure above step by step." HOT 1
- RuntimeError: size mismatch - ch05/03_bonus_pretraining_on_gutenberg HOT 2
- book feedback HOT 1
- The definition of stride is confusing in 2.6 HOT 3
- Difference btwn book and repo HOT 1
- class MHAPyTorchScaledDotProduct HOT 2
- suggestion of adding torch.profile
- do have a doc for hardware specs HOT 2
- ch06/03_bonus_imdb-classification HOT 15
- Solution for Exercise 3.2 is included in the notebook with main code (3.6.1 Stacking multiple single-head attention layers) HOT 1
- Question about implementation of CausalAttention class (3.5.3 Implementing a compact causal self-attention class) HOT 6
- Inconsistencies in unsqueeze operation description in the book and in notebook and its necessity (3.6.2 Implementing multi-head attention with weight splits) HOT 4
- Solution for Exercise 3.3 is included in the notebook with main code (3.6.2 Implementing multi-head attention with weight splits) HOT 1
- Inconsistencies in MHA Wrapper Implementation Between Chapter 3 Main Content and Bonus Material HOT 1
- Offering Chinese Translation for 'Build a Large Language Model From Scratch HOT 3
- Chapter 5 - Context Size and the DataLoaders HOT 2
- Feedback: Stripe output from notebook HOT 2
- About endoftext in ch05/03_bonus_pretraining_on_gutenberg/pretraining_simple.py HOT 14
- Contributions for Chinese simplified version HOT 4
- {Q} : Replacing the LlamaDecoderLayer Class hugging Face With New LongNet
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