Auto-GPT & AgentGPT: Unleashing the Magic of AI-driven Task Completion - Get Started

Overview

Auto-GPT / AgentGPT Autonomous AI Mechanism

Around 4 months after the release of ChatGPT, the Auto-GPT and AgentGPT frameworks for AI-assisted task completion were introduced.

This means that by providing a “Goal,” it can automatically complete the task through an iterative process of breaking down the task, implementing, and verifying.

The key to making Auto-GPT so powerful lies in:

  1. 🧠 Utilizing LLM to understand requirements and initiate tasks
  2. 🌐 Access to the internet for real-time updates
  3. πŸ’Ύ Support for long-term memory storage, overcoming ChatGPT token limits

Today, I will share some observations and let’s discuss in 4 areas:

  1. πŸ”₯ Demonstration
  2. ☠️ Warning: πŸ’° Budget control
  3. πŸ‘€ Importance of requirements/review/stage evaluation
  4. πŸš€ Leverage Agile/Lean Startup “MVP” concept to build your own rocket

πŸ€” Q: To what extent can Auto-GPT achieve?

πŸ’ͺ A: Consider what you would use AI for, its effectiveness, and potential for further development.

(2023/04/16) I’m an IT engineer from Taiwan πŸ‡ΉπŸ‡Ό. I’m using ChatGPT and other software to help translate the original and future valuable articles. If there are any unclear expressions, please feel free to let me know. I’m also working hard to learn English and Japanese!

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