[ WebToolTip.com ] Code with the Author of Build an LLM (From Scratch)
大小
3.15 GB
文件数
50
Info Hash:
1B0592C4D2DBAA7DC770E95FE0C0A773F8A659DD
收录时间
2026-01-05 17:35:20
更新时间
2026-01-05 17:35:20
文件列表 (50)
Get Bonus Downloads Here.url
180 B
~Get Your Files Here !/001. Chapter 1. Python Environment Setup.mp4
90.23 MB
~Get Your Files Here !/002. Chapter 2. Tokenizing text.mp4
99.09 MB
~Get Your Files Here !/003. Chapter 2. Converting tokens into token IDs.mp4
39.96 MB
~Get Your Files Here !/004. Chapter 2. Adding special context tokens.mp4
34.81 MB
~Get Your Files Here !/005. Chapter 2. Byte pair encoding.mp4
69.7 MB
~Get Your Files Here !/006. Chapter 2. Data sampling with a sliding window.mp4
91.88 MB
~Get Your Files Here !/007. Chapter 2. Creating token embeddings.mp4
32.81 MB
~Get Your Files Here !/008. Chapter 2. Encoding word positions.mp4
49.18 MB
~Get Your Files Here !/009. Chapter 3. A simple self-attention mechanism without trainable weights Part 1.mp4
173.89 MB
~Get Your Files Here !/010. Chapter 3. A simple self-attention mechanism without trainable weights Part 2.mp4
54.97 MB
~Get Your Files Here !/011. Chapter 3. Computing the attention weights step by step.mp4
63.51 MB
~Get Your Files Here !/012. Chapter 3. Implementing a compact self-attention Python class.mp4
33.62 MB
~Get Your Files Here !/013. Chapter 3. Applying a causal attention mask.mp4
56.36 MB
~Get Your Files Here !/014. Chapter 3. Masking additional attention weights with dropout.mp4
16.8 MB
~Get Your Files Here !/015. Chapter 3. Implementing a compact causal self-attention class.mp4
41.52 MB
~Get Your Files Here !/016. Chapter 3. Stacking multiple single-head attention layers.mp4
45.54 MB
~Get Your Files Here !/017. Chapter 3. Implementing multi-head attention with weight splits.mp4
127.05 MB
~Get Your Files Here !/018. Chapter 4. Coding an LLM architecture.mp4
62.12 MB
~Get Your Files Here !/019. Chapter 4. Normalizing activations with layer normalization.mp4
84.01 MB
~Get Your Files Here !/020. Chapter 4. Implementing a feed forward network with GELU activations.mp4
102.08 MB
~Get Your Files Here !/021. Chapter 4. Adding shortcut connections.mp4
44.29 MB
~Get Your Files Here !/022. Chapter 4. Connecting attention and linear layers in a transformer block.mp4
64.11 MB
~Get Your Files Here !/023. Chapter 4. Coding the GPT model.mp4
66.96 MB
~Get Your Files Here !/024. Chapter 4. Generating text.mp4
65.74 MB
~Get Your Files Here !/025. Chapter 5. Using GPT to generate text.mp4
71.59 MB
~Get Your Files Here !/026. Chapter 5. Calculating the text generation loss cross entropy and perplexity.mp4
97.57 MB
~Get Your Files Here !/027. Chapter 5. Calculating the training and validation set losses.mp4
94.71 MB
~Get Your Files Here !/028. Chapter 5. Training an LLM.mp4
138.82 MB
~Get Your Files Here !/029. Chapter 5. Decoding strategies to control randomness.mp4
20.07 MB
~Get Your Files Here !/030. Chapter 5. Temperature scaling.mp4
42.17 MB
~Get Your Files Here !/031. Chapter 5. Top-k sampling.mp4
26.26 MB
~Get Your Files Here !/032. Chapter 5. Modifying the text generation function.mp4
33.45 MB
~Get Your Files Here !/033. Chapter 5. Loading and saving model weights in PyTorch.mp4
22 MB
~Get Your Files Here !/034. Chapter 5. Loading pretrained weights from OpenAI.mp4
106.61 MB
~Get Your Files Here !/035. Chapter 6. Preparing the dataset.mp4
103.83 MB
~Get Your Files Here !/036. Chapter 6. Creating data loaders.mp4
54.34 MB
~Get Your Files Here !/037. Chapter 6. Initializing a model with pretrained weights.mp4
42.27 MB
~Get Your Files Here !/038. Chapter 6. Adding a classification head.mp4
73.66 MB
~Get Your Files Here !/039. Chapter 6. Calculating the classification loss and accuracy.mp4
64.48 MB
~Get Your Files Here !/040. Chapter 6. Fine-tuning the model on supervised data.mp4
162.72 MB
~Get Your Files Here !/041. Chapter 6. Using the LLM as a spam classifier.mp4
35.89 MB
~Get Your Files Here !/042. Chapter 7. Preparing a dataset for supervised instruction fine-tuning.mp4
47.2 MB
~Get Your Files Here !/043. Chapter 7. Organizing data into training batches.mp4
79.82 MB
~Get Your Files Here !/044. Chapter 7. Creating data loaders for an instruction dataset.mp4
32.29 MB
~Get Your Files Here !/045. Chapter 7. Loading a pretrained LLM.mp4
24.68 MB
~Get Your Files Here !/046. Chapter 7. Fine-tuning the LLM on instruction data.mp4
98.16 MB
~Get Your Files Here !/047. Chapter 7. Extracting and saving responses.mp4
42.3 MB
~Get Your Files Here !/048. Chapter 7. Evaluating the fine-tuned LLM.mp4
102.12 MB
~Get Your Files Here !/Bonus Resources.txt
70 B