Awesome ChatGPTDocumentation, lists, guides, or examples

ml-tooling/best-of-ml-python

⭐ 21431

A curated and ranked list of the best open-source machine learning Python libraries, updated weekly and organized into multiple categories to help users discover high-quality projects.

https://github.com/ml-tooling/best-of-ml-python

Also in Documentation, lists, guides, or examples

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.

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.