Linking pages
Linked pages
- GitHub - karpathy/nanoGPT: The simplest, fastest repository for training/finetuning medium-sized GPTs. https://github.com/karpathy/nanoGPT 366 comments
- https://probml.github.io/pml-book/book1.html 155 comments
- GitHub - karpathy/minGPT: A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training https://github.com/karpathy/minGPT 133 comments
- Vectors | Chapter 1, Essence of linear algebra - YouTube https://www.youtube.com/watch?index=2&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab&v=fNk_zzaMoSs 86 comments
- Deep-ML https://www.deep-ml.com/ 71 comments
- Neural Networks: Zero To Hero https://karpathy.ai/zero-to-hero.html 69 comments
- https://probml.github.io/pml-book/book2.html 62 comments
- The essence of calculus - YouTube https://www.youtube.com/watch?v=WUvTyaaNkzM 59 comments
- Prompt Engineering | Lil'Log https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/ 59 comments
- Understanding Large Language Models - by Sebastian Raschka https://magazine.sebastianraschka.com/p/understanding-large-language-models 53 comments
- The Transformer Family Version 2.0 | Lil'Log https://lilianweng.github.io/posts/2023-01-27-the-transformer-family-v2/ 46 comments
- Introduction to Algorithms - Wikipedia https://en.wikipedia.org/wiki/Introduction_to_Algorithms 39 comments
- Finetuning LLMs with LoRA and QLoRA: Insights from Hundreds of Experiments - Lightning AI https://lightning.ai/pages/community/lora-insights/ 39 comments
- GitHub - karpathy/minbpe: Minimal, clean, educational code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization. https://github.com/karpathy/minbpe 31 comments
- Illustrating Reinforcement Learning from Human Feedback (RLHF) https://huggingface.co/blog/rlhf 14 comments
- Rules of Machine Learning: | Google for Developers https://developers.google.com/machine-learning/guides/rules-of-ml#rule_14_starting_with_an_interpretable_model_makes_debugging_easier 8 comments
- [2307.09288] Llama 2: Open Foundation and Fine-Tuned Chat Models https://arxiv.org/abs/2307.09288 0 comments
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