This repository demonstrates how to leverage ChatGPT as a powerful productivity tool through effective prompts and chains, targeting users who want to automate complex tasks. It showcases ChatGPT's versatility beyond a simple chatbot, enabling sophisticated applications and problem-solving.

How It Works

The project explores using natural language prompts to guide ChatGPT through various tasks, from text manipulation and data augmentation to code generation and game playing. It emphasizes the concept of "chains," where users interact with ChatGPT iteratively to refine outputs or perform multi-step processes, effectively turning the LLM into a programmable assistant.

Quick Start & Requirements

• Access: Requires access to the ChatGPT API.
• Prerequisites: No specific software installation is mentioned, as the focus is on prompt engineering with the existing ChatGPT interface.
• Resources: Primarily relies on internet access and a ChatGPT account.

Highlighted Details

• Versatile Applications: Covers a wide range of use cases including text polishing, translation, data augmentation, NLU tasks, code analysis, debugging, and even playing games like Tic-Tac-Toe and Gomoku.
• Creative Output: Demonstrates ChatGPT's ability to generate ASCII art, SVG graphics, and code snippets.
• Educational Tool: Aims to inspire users by showcasing the "infinite possibilities" of ChatGPT for creating innovative applications.
• Future Integration: Mentions planned updates including Google Bard and a potential open-source SDK named "wand."

Maintenance & Community

The repository is maintained by "howl-anderson," who is a Google Developer Expert in Machine Learning. The author encourages GitHub follows for project updates and new releases.

Licensing & Compatibility

The repository's licensing is not explicitly stated in the provided README.

Limitations & Caveats

The README acknowledges that generated ASCII art and SVG graphics can be rudimentary and may require further refinement. Some sections are marked as "TODO," indicating ongoing development and incomplete content. The effectiveness of certain tasks, like game playing, can vary, with instances of the AI making errors or not recognizing game states.