happy-llm and happy-llm-colab

B is a complementary Colab-based implementation of A's curriculum, allowing practitioners to execute the same LLM tutorials in a free GPU environment without local setup.

happy-llm
59
Established
happy-llm-colab
50
Established
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 10/25
Adoption 8/25
Maturity 15/25
Community 17/25
Stars: 27,292
Forks: 2,515
Downloads:
Commits (30d): 1
Language: Jupyter Notebook
License:
Stars: 69
Forks: 12
Downloads:
Commits (30d): 0
Language: Python
License:
No Package No Dependents
No Package No Dependents

About happy-llm

datawhalechina/happy-llm

📚 从零开始的大语言模型原理与实践教程

This project is a comprehensive learning guide for building large language models (LLMs) from scratch. It takes you from understanding core NLP concepts to designing, training, and fine-tuning your own LLM, like LLaMA2. It's intended for students, researchers, and AI enthusiasts who want to grasp the inner workings of LLMs and develop practical skills.

natural-language-processing large-language-models machine-learning-engineering deep-learning AI-research

About happy-llm-colab

ningg/happy-llm-colab

happy-llm 实践练习:colab 版本、pynb 格式,GPU 免费

This project offers an interactive learning environment for understanding and building Large Language Models (LLMs) and Natural Language Processing (NLP) applications. It provides pre-configured Python notebooks that you can run directly in your browser using Google Colab's free GPU resources. Students, data scientists, and AI researchers can follow along with practical examples and code to grasp core concepts from NLP basics to advanced LLM training and deployment.

AI education NLP learning LLM development Machine Learning practice Data Science training

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