Build-A-Large-Language-Model-Book---Sebastian-Raschka
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파일 탐색기
- launch.json
- settings.json
- Byte_pair_encoding.py
- converting_tokents_to_ID.py
- dataloader.ipynb
- Summary.md
- the-verdict.txt
- tokenizer.py
- 3.3 Attending to different parts of the input with self-attention.ipynb
- 3.4.2 Implementing a compact self-attention Python class.ipynb
- ch03.ipynb
- main.py
- multiHeadAttention.py
- Summary.md
- 4.1 Coding an LLM architecture.ipynb
- 4.2 Normalizing activations with layer normalization.ipynb
- 4.5_Neural_net_shortcut_connections.py
- 4.6 _The_transformer block_component_of_GPT.ipynb
- 4.7_GPT_architecture_implementation.ipynb
- feed_forward_module.py
- GeLu_function.py
- gpt.py
- gptPlaceholder.py
- Layer_Norm.py
- notebook_setup.py
- Summary.md
- tokenizer.py
- Transformer_Block.py
- 5.5_Loading_pretrained_weights_from_OpenAI.ipynb
- ch05.ipynb
- dataLoader.py
- ex5_4.ipynb
- generate.py
- gpt_generate.py
- gpt_train.py
- plot_Losses.py
- Summary.md
- CH06.ipynb
- Summary.md
- CH07.ipynb
- Summary.md
- compute_gradients_autograd.py
- intro.py
- typical_training_loop.py
- readme
- SMSSpamCollection.tsv
- .gitignore
- .gitmodules
- accuracy-plot.pdf
- Build_a_LLM_from_scratch--BOOK.pdf
- Build_A_Reasoning_Model_Complete.pdf
- gpt_download.py
- LLMs-from-scratch
- loss-plot.pdf
- README.md
- Reasoning-from-scratch
- temperature-plot.pdf
- test.csv
- the-verdict.txt
- train.csv
- validation.csv
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