Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning | 涵盖预训练数据、分词器、Transformer、MoE、分布式训练、缩放定律、推理与对齐,6 项渐进代码作业,掌握 LLM 全栈知识
21 Lessons, Get Started Building with Generative AI
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Implement a reasoning LLM in PyTorch from scratch, step by step
Optimize prompts, code, and more with AI-powered Reflective Optimization
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
LLM algorithm practice lab with theory, solutions, and test cases.《大模型算法与系统教程》面向大模型入门到进阶的算法实战教程,覆盖原理讲解、答案解析、测试用例与 CUDA/Triton 实战。
A collection of guides and examples for the Gemma open models from Google.
Runnable examples for building applications with open models on Nebius Token Factory.