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磁力链接/BT种子名称

[ WebToolTip.com ] Code with the Author of Build an LLM (From Scratch)

磁力链接/BT种子简介

种子哈希：1b0592c4d2dbaa7dc770e95fe0c0a773f8a659dd
文件大小： 3.15G
已经下载：119次
下载速度：极快
收录时间：2025-07-18
最近下载：2025-10-17

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文件列表

  • ~Get Your Files Here !/009. Chapter 3. A simple self-attention mechanism without trainable weights Part 1.mp4 182.3 MB
  • ~Get Your Files Here !/040. Chapter 6. Fine-tuning the model on supervised data.mp4 170.6 MB
  • ~Get Your Files Here !/028. Chapter 5. Training an LLM.mp4 145.6 MB
  • ~Get Your Files Here !/017. Chapter 3. Implementing multi-head attention with weight splits.mp4 133.2 MB
  • ~Get Your Files Here !/034. Chapter 5. Loading pretrained weights from OpenAI.mp4 111.8 MB
  • ~Get Your Files Here !/035. Chapter 6. Preparing the dataset.mp4 108.9 MB
  • ~Get Your Files Here !/048. Chapter 7. Evaluating the fine-tuned LLM.mp4 107.1 MB
  • ~Get Your Files Here !/020. Chapter 4. Implementing a feed forward network with GELU activations.mp4 107.0 MB
  • ~Get Your Files Here !/002. Chapter 2. Tokenizing text.mp4 103.9 MB
  • ~Get Your Files Here !/046. Chapter 7. Fine-tuning the LLM on instruction data.mp4 102.9 MB
  • ~Get Your Files Here !/026. Chapter 5. Calculating the text generation loss cross entropy and perplexity.mp4 102.3 MB
  • ~Get Your Files Here !/027. Chapter 5. Calculating the training and validation set losses.mp4 99.3 MB
  • ~Get Your Files Here !/006. Chapter 2. Data sampling with a sliding window.mp4 96.3 MB
  • ~Get Your Files Here !/001. Chapter 1. Python Environment Setup.mp4 94.6 MB
  • ~Get Your Files Here !/019. Chapter 4. Normalizing activations with layer normalization.mp4 88.1 MB
  • ~Get Your Files Here !/043. Chapter 7. Organizing data into training batches.mp4 83.7 MB
  • ~Get Your Files Here !/038. Chapter 6. Adding a classification head.mp4 77.2 MB
  • ~Get Your Files Here !/025. Chapter 5. Using GPT to generate text.mp4 75.1 MB
  • ~Get Your Files Here !/005. Chapter 2. Byte pair encoding.mp4 73.1 MB
  • ~Get Your Files Here !/023. Chapter 4. Coding the GPT model.mp4 70.2 MB
  • ~Get Your Files Here !/024. Chapter 4. Generating text.mp4 68.9 MB
  • ~Get Your Files Here !/039. Chapter 6. Calculating the classification loss and accuracy.mp4 67.6 MB
  • ~Get Your Files Here !/022. Chapter 4. Connecting attention and linear layers in a transformer block.mp4 67.2 MB
  • ~Get Your Files Here !/011. Chapter 3. Computing the attention weights step by step.mp4 66.6 MB
  • ~Get Your Files Here !/018. Chapter 4. Coding an LLM architecture.mp4 65.1 MB
  • ~Get Your Files Here !/013. Chapter 3. Applying a causal attention mask.mp4 59.1 MB
  • ~Get Your Files Here !/010. Chapter 3. A simple self-attention mechanism without trainable weights Part 2.mp4 57.6 MB
  • ~Get Your Files Here !/036. Chapter 6. Creating data loaders.mp4 57.0 MB
  • ~Get Your Files Here !/008. Chapter 2. Encoding word positions.mp4 51.6 MB
  • ~Get Your Files Here !/042. Chapter 7. Preparing a dataset for supervised instruction fine-tuning.mp4 49.5 MB
  • ~Get Your Files Here !/016. Chapter 3. Stacking multiple single-head attention layers.mp4 47.8 MB
  • ~Get Your Files Here !/021. Chapter 4. Adding shortcut connections.mp4 46.4 MB
  • ~Get Your Files Here !/047. Chapter 7. Extracting and saving responses.mp4 44.4 MB
  • ~Get Your Files Here !/037. Chapter 6. Initializing a model with pretrained weights.mp4 44.3 MB
  • ~Get Your Files Here !/030. Chapter 5. Temperature scaling.mp4 44.2 MB
  • ~Get Your Files Here !/015. Chapter 3. Implementing a compact causal self-attention class.mp4 43.5 MB
  • ~Get Your Files Here !/003. Chapter 2. Converting tokens into token IDs.mp4 41.9 MB
  • ~Get Your Files Here !/041. Chapter 6. Using the LLM as a spam classifier.mp4 37.6 MB
  • ~Get Your Files Here !/004. Chapter 2. Adding special context tokens.mp4 36.5 MB
  • ~Get Your Files Here !/012. Chapter 3. Implementing a compact self-attention Python class.mp4 35.3 MB
  • ~Get Your Files Here !/032. Chapter 5. Modifying the text generation function.mp4 35.1 MB
  • ~Get Your Files Here !/007. Chapter 2. Creating token embeddings.mp4 34.4 MB
  • ~Get Your Files Here !/044. Chapter 7. Creating data loaders for an instruction dataset.mp4 33.9 MB
  • ~Get Your Files Here !/031. Chapter 5. Top-k sampling.mp4 27.5 MB
  • ~Get Your Files Here !/045. Chapter 7. Loading a pretrained LLM.mp4 25.9 MB
  • ~Get Your Files Here !/033. Chapter 5. Loading and saving model weights in PyTorch.mp4 23.1 MB
  • ~Get Your Files Here !/029. Chapter 5. Decoding strategies to control randomness.mp4 21.0 MB
  • ~Get Your Files Here !/014. Chapter 3. Masking additional attention weights with dropout.mp4 17.6 MB
  • Get Bonus Downloads Here.url 180 Bytes
  • ~Get Your Files Here !/Bonus Resources.txt 70 Bytes

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