[ WebToolTip.com ] Code with the Author of Build an LLM (From Scratch)
File List
- ~Get Your Files Here !/009. Chapter 3. A simple self-attention mechanism without trainable weights Part 1.mp4 173.9 MB
- ~Get Your Files Here !/040. Chapter 6. Fine-tuning the model on supervised data.mp4 162.7 MB
- ~Get Your Files Here !/028. Chapter 5. Training an LLM.mp4 138.8 MB
- ~Get Your Files Here !/017. Chapter 3. Implementing multi-head attention with weight splits.mp4 127.1 MB
- ~Get Your Files Here !/034. Chapter 5. Loading pretrained weights from OpenAI.mp4 106.6 MB
- ~Get Your Files Here !/035. Chapter 6. Preparing the dataset.mp4 103.8 MB
- ~Get Your Files Here !/048. Chapter 7. Evaluating the fine-tuned LLM.mp4 102.1 MB
- ~Get Your Files Here !/020. Chapter 4. Implementing a feed forward network with GELU activations.mp4 102.1 MB
- ~Get Your Files Here !/002. Chapter 2. Tokenizing text.mp4 99.1 MB
- ~Get Your Files Here !/046. Chapter 7. Fine-tuning the LLM on instruction data.mp4 98.2 MB
- ~Get Your Files Here !/026. Chapter 5. Calculating the text generation loss cross entropy and perplexity.mp4 97.6 MB
- ~Get Your Files Here !/027. Chapter 5. Calculating the training and validation set losses.mp4 94.7 MB
- ~Get Your Files Here !/006. Chapter 2. Data sampling with a sliding window.mp4 91.9 MB
- ~Get Your Files Here !/001. Chapter 1. Python Environment Setup.mp4 90.2 MB
- ~Get Your Files Here !/019. Chapter 4. Normalizing activations with layer normalization.mp4 84.0 MB
- ~Get Your Files Here !/043. Chapter 7. Organizing data into training batches.mp4 79.8 MB
- ~Get Your Files Here !/038. Chapter 6. Adding a classification head.mp4 73.7 MB
- ~Get Your Files Here !/025. Chapter 5. Using GPT to generate text.mp4 71.6 MB
- ~Get Your Files Here !/005. Chapter 2. Byte pair encoding.mp4 69.7 MB
- ~Get Your Files Here !/023. Chapter 4. Coding the GPT model.mp4 67.0 MB
- ~Get Your Files Here !/024. Chapter 4. Generating text.mp4 65.7 MB
- ~Get Your Files Here !/039. Chapter 6. Calculating the classification loss and accuracy.mp4 64.5 MB
- ~Get Your Files Here !/022. Chapter 4. Connecting attention and linear layers in a transformer block.mp4 64.1 MB
- ~Get Your Files Here !/011. Chapter 3. Computing the attention weights step by step.mp4 63.5 MB
- ~Get Your Files Here !/018. Chapter 4. Coding an LLM architecture.mp4 62.1 MB
- ~Get Your Files Here !/013. Chapter 3. Applying a causal attention mask.mp4 56.4 MB
- ~Get Your Files Here !/010. Chapter 3. A simple self-attention mechanism without trainable weights Part 2.mp4 55.0 MB
- ~Get Your Files Here !/036. Chapter 6. Creating data loaders.mp4 54.3 MB
- ~Get Your Files Here !/008. Chapter 2. Encoding word positions.mp4 49.2 MB
- ~Get Your Files Here !/042. Chapter 7. Preparing a dataset for supervised instruction fine-tuning.mp4 47.2 MB
- ~Get Your Files Here !/016. Chapter 3. Stacking multiple single-head attention layers.mp4 45.5 MB
- ~Get Your Files Here !/021. Chapter 4. Adding shortcut connections.mp4 44.3 MB
- ~Get Your Files Here !/047. Chapter 7. Extracting and saving responses.mp4 42.3 MB
- ~Get Your Files Here !/037. Chapter 6. Initializing a model with pretrained weights.mp4 42.3 MB
- ~Get Your Files Here !/030. Chapter 5. Temperature scaling.mp4 42.2 MB
- ~Get Your Files Here !/015. Chapter 3. Implementing a compact causal self-attention class.mp4 41.5 MB
- ~Get Your Files Here !/003. Chapter 2. Converting tokens into token IDs.mp4 40.0 MB
- ~Get Your Files Here !/041. Chapter 6. Using the LLM as a spam classifier.mp4 35.9 MB
- ~Get Your Files Here !/004. Chapter 2. Adding special context tokens.mp4 34.8 MB
- ~Get Your Files Here !/012. Chapter 3. Implementing a compact self-attention Python class.mp4 33.6 MB
- ~Get Your Files Here !/032. Chapter 5. Modifying the text generation function.mp4 33.5 MB
- ~Get Your Files Here !/007. Chapter 2. Creating token embeddings.mp4 32.8 MB
- ~Get Your Files Here !/044. Chapter 7. Creating data loaders for an instruction dataset.mp4 32.3 MB
- ~Get Your Files Here !/031. Chapter 5. Top-k sampling.mp4 26.3 MB
- ~Get Your Files Here !/045. Chapter 7. Loading a pretrained LLM.mp4 24.7 MB
- ~Get Your Files Here !/033. Chapter 5. Loading and saving model weights in PyTorch.mp4 22.0 MB
- ~Get Your Files Here !/029. Chapter 5. Decoding strategies to control randomness.mp4 20.1 MB
- ~Get Your Files Here !/014. Chapter 3. Masking additional attention weights with dropout.mp4 16.8 MB
- Get Bonus Downloads Here.url 180 bytes
- ~Get Your Files Here !/Bonus Resources.txt 70 bytes
Download Torrent
Related Resources
Copyright Infringement
If the content above is not authorized, please contact us via activebusinesscommunication[AT]gmail.com. Remember to include the full url in your complaint.