sindresorhus/awesome
A curated collection of awesome lists covering a wide range of technology and development topics to help users discover high-quality resources efficiently.
Awesome ChatGPT › Documentation, lists, guides, or examples
Hedlen/awesome-segment-anything
A curated and continuously updated repository tracking research papers, projects, and resources related to the Segment Anything initiative in computer vision, covering foundational models, derivative works, and applications across diverse segmentation tasks.
https://github.com/Hedlen/awesome-segment-anything
Also in Documentation, lists, guides, or examples
f/awesome-chatgpt-prompts
A curated repository of diverse prompts designed to enhance interactions with ChatGPT and other AI chat models, supporting community contributions and educational resources.
microsoft/generative-ai-for-beginners
Generative AI for Beginners is a comprehensive 21-lesson course by Microsoft that teaches foundational concepts and practical skills to build Generative AI applications using Python and TypeScript, supported by Azure and OpenAI services.
rasbt/LLMs-from-scratch
LLMs-from-scratch is an educational repository that guides users through building, pretraining, and fine-tuning a GPT-like large language model from scratch using PyTorch, based on the accompanying book.
openai/openai-cookbook
The OpenAI Cookbook provides example code and guides to help developers effectively use the OpenAI API for various AI-powered tasks.
dair-ai/Prompt-Engineering-Guide
The Prompt Engineering Guide is a comprehensive resource offering guides, papers, lectures, and tools to master prompt engineering for large language models across various applications and research areas.
meta-llama/llama
This repository provides inference code and minimal examples for running Llama 2 large language models, enabling responsible experimentation and deployment, though it is now deprecated in favor of newer consolidated Llama repositories.
mouredev/Hello-Python
Hello Python is a comprehensive beginner-friendly course offering 100 classes and 44 hours of video content to teach Python programming from basics to advanced topics including backend, frontend, testing, and AI integration.