ChatGPT is an AI assistant developed by OpenAI and released in November 2022. It uses generative AI models to understand and produce text, images, audio, and code. People use ChatGPT for writing, learning, research, data analysis, software development, and creative work. It is available through web, desktop, and mobile applications.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Notebooks & Example Apps for Search, Observability, and Security with Elasticsearch
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Jupyter code notebooks of "ChatGPT Prompt Engineering for Developers" by DeepLearning.AI and OpenAI.
A browser extension to provide various AI helper functions in Jupyter Notebooks, powered by ChatGPT.
A highly extensible Markdown editor featuring version control, AI Copilot, document annotations, mind maps, document encryption, executable code snippets, chart embedding, HTML applets, plugins, and macro replacement. Its integrated sidebar terminal makes working with AI faster and more convenient.
Jupyter Notebook for https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
A collection of prompts for use with GPT-4 via ChatGPT, OpenAI API w/ Gradio frontend & notebook
Practical Jupyter notebooks from Andrew Ng and Isa Fulford's "ChatGPT Prompt Engineering for Developers" course on DeepLearning.AI.
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.
Notebook for running GPT-J/GPT-J-6B – the cost-effective alternative to ChatGPT, GPT-3 & GPT-4 for many NLP tasks. Available on IPUs as a Paperspace notebook.
Copilot for Jupyter notebooks.
PlotAI - Your Ultimate Plotting Assistant! 📊🤖 Use ChatGPT-3.5 to create plots in Python and Matplotlib directly in your Python script or notebook.
Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.
The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.
Useful colab notebooks to try out Stable Diffusion, LLM, etc.
Add ipython magic commands to Jupyter notebooks that provide LLM-driven enhancements
让 AI 主动记错题、自我迭代的协作机制 · A framework that makes your AI reflect on its own mistakes and stop repeating them
Created by OpenAI
Released November 30, 2022