Comments (1)
rasbt
commented on May 18, 2024
2
Thanks for the nice feedback! Glad to hear that you find the book useful. I think you are referring to the highlighted part and why it's not shown in the book chapter itself?
That was because the chapter exceeded the page limits and I had to truncate a bit here and there, so I simplified that section but decided to leave it in the code notebook. I added it back to the chapter and can let the editors know that readers were requesting it. Maybe we can make an exception regarding the chapter length.
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Related Issues (20)
- 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
- 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
- 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 16
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