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
reorx/awesome-chatgpt-api
A curated collection of apps and tools that use the ChatGPT API, allowing users to configure their own API keys for free and on-demand usage, covering plugins, web apps, desktop and mobile apps, CLI, chatbots, and development resources.
https://github.com/reorx/awesome-chatgpt-api
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.