Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.

Building LLM-Enabled Multi Agent Applications from Scratch

Building a GPT-like LLM from scratch with PyTorch.

Building a 2.3M-parameter LLM from scratch with LLaMA 1 architecture.

a LLM cookbook, for building your own from scratch, all the way from gathering data to training a model

Build your own X - Master machine learning by building everything from scratch. It aims to cover everything from linear regression to deep learning to large language models (LLMs).

Coding an LLM and its building blocks from scratch.

🚀 [从零构建 LLM] 极简大模型训练原理与实践指南。包含 Transformer, Pretraining, SFT 核心代码与对照实验。 | A minimal, principle-first guide to understanding and building LLMs from scratch.

MLOps - Deploy models at scale, Generative AI - Build applications with LLMs, NLP - Understand Transformers & Text Generation Models, Computer Vision - Build GANs projects like Deepfakes, ML System Design, hands-on project building and code algorithms from scratch.

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.

Hands-on tutorials for building AI agents from scratch. Learn LLM APIs, prompt engineering, tool calling, and the agent loop through practical examples.

building a Large Language Model (LLM) from scratch.

Building LLMs from scratch following the book from S. Raschka

Building a Large Language Model (From Scratch) to understand and create your own GPT-like large language models (LLMs) from the ground up.

Building LLM from scratch

Building an LLM from scratch using pyTorch

A hands-on implementation of neural networks, transformers, and language models from scratch. This project follows a Git branch-based development approach where each checkpoint represents a different stage of building a complete LLM system.

Building a LLM Entirely from Scratch and posting my progress

This is an ongoing project where I'm building a small LLaMA-like LLM from scratch.

This repository contains the complete source code, explanations, and visualizations for the "Building LLMs from Scratch" series. Whether you're a beginner curious about how ChatGPT works or an experienced developer wanting to understand transformer architecture deeply, this series will guide you through every component step by step.

Building a mini LLM from scratch. Embedding, positional encoding , encoder decoder , GPT

This repository provides a step-by-step guide to building a Large Language Model (LLM) from scratch.

A starter kit for building your own Indonesian Large Language Model (LLM) from scratch — architecture, data pipeline, tokenizer, and training loop included.

This repository presents a comprehensive, step-by-step guide to building a small-scale Large Language Model (LLM) from scratch using Python and Jupyter Notebooks.

BUilding a LLM from scratch and using toeknizers also.

Materials for "Building LLMs from Scratch" workshop series at Yale

Oh, this is for learning orchestration and for gluing together specialist agents, not for building LLMs-with-tools from scratch

LLM Forge: Experimental playground for building and training practical LLMs with limited compute resources. Pre-train from scratch, fine-tune, and generate text using modular GPT-style models

Step-by-step guide to building an AI chatbot from scratch using a Large Language Model (LLM).

Building LLMs & other generative models from scratch