《Build a Large Language Model (From Scratch)》是一本深入探讨大语言模型原理与实现的电子书，适合希望深入了解 GPT 等大模型架构、训练过程及应用开发的学习者。为了让更多中文读者能够接触到这本极具价值的教材，我决定将其翻译成中文，并通过 GitHub 进行开源共享。

Building a GPT-like LLM from scratch with PyTorch.

Build a Large Language Model (From Scratch) book and Finetuned Models

BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python

This repository guides you through the process of building a GPT-style Large Language Model (LLM) from scratch using PyTorch. The structure and approach are inspired by the book Build a Large Language Model (From Scratch) by Sebastian Raschka.

This repository contains a step-by-step implementation of a ChatGPT-like model from scratch using PyTorch. It covers everything from tokenization and transformer architecture to training and fine-tuning on conversational data. The course is designed for those who want to deeply understand how large language models work and build their own! 🚀

Build a Large Language Model From Scratch

Educational notebooks that demystify Large Language Models and Computer Vision. We build everything from scratch — from a simple bigram language model to RNNs, LSTMs, Attention, Transformers, CNNs, and Diffusion models (DDPM) — using pure Python and PyTorch. No hype. Just code.

In this lecture, we are going to build our own Mini GPT Language Model from scratch using PyTorch! This is a beginner-friendly, step-by-step implementation of a tiny language model that learns to predict the next word, just like how GPT and other Large Language Models work internally.

Implementation of build a LLM from scratch by Sebastian Raschka.

Build A Large Language Model (From Scratch)

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Build a Large Language Model from Scratch

🚀 Build and understand a Large Language Model from scratch using PyTorch through hands-on notebooks focused on core Transformer concepts.

Implementation of a GPT-style language model from scratch, following the concepts and code presented in Sebastian Raschka’s Build a Large Language Model From Scratch. This repository includes step-by-step implementations, experiments, and notes to deepen understanding of transformer-based architectures.

Build a Large Language Model from Scratch based on Stanford CS336 assignments.

Genesis-LLM: A complete engineering pipeline to help you build your own large language model from scratch.

Code written as I progress through the book "Build a Large Language Model (From Scratch)" by Sebastian Raschka.

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Este repositorio contiene el libro "Build a Large Language Model (From Scratch)" de Sebastian Raschka (disponible en Z-Library), dividido por capítulos & notas.

Build a Large Language Model from Scratch

inspired by Build a Large Language Model (From Scratch) - Sebastian Raschka

Took reference from the following book: Build a Large Language Model (From Scratch) Sebastian Raschka

Implementations and side-quests as I work through Build a Large Language Model from scratch

A hands-on practice of the "Build a Large Language Model from Scratch" book by Sebastian Raschka.

This repo has all the code (well organized) i wrote while reading the book "Build a Large Language Model from Scratch"

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This repository is based on the material from the book Build a Large Language Model (From Scratch)

Building a Large Language Model from Scratch — A Python implementation of a simple transformer-based LLM covering tokenization, embeddings, self-attention, transformer blocks, and training.

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