This is the Linux app named How to Train Your GPT whose latest release can be downloaded as how-to-train-your-gptsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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How to Train Your GPT
DESCRIPTION
How to Train Your GPT is an interactive textbook that teaches users how to build, train, and run a modern language model from scratch. It is written for learners with minimal machine-learning background, using simple explanations, commented code, and practical examples. The project covers the same broad family of architecture behind systems such as GPT-style models, LLaMA-style models, Claude-style systems, and Mistral-style models. It includes chapters and topic explainers on tokenizers, embeddings, attention, RoPE, RMSNorm, SwiGLU, KV cache, AdamW, mixed precision, training loops, and inference. The guide emphasizes writing every important component manually rather than only calling high-level APIs. Its purpose is to make the internals of language models understandable through runnable code and step-by-step explanations.
Features
- Interactive language-model training textbook
- Twelve-chapter learning structure
- Fully commented runnable code examples
- Coverage of Transformer and GPT internals
- Standalone explainers for major ML concepts
- Beginner-friendly explanations with engineering depth
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/how-to-train-your-gpt.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
