NEW BabyAGI πΆ - The Birth of Fully Autonomous AI (Tutorial)
Baby AGI: An AI-Powered Task Management System
In this video, the author introduces Baby AGI, an AI-powered task management system that prioritizes and executes tasks to accomplish a goal autonomously. The author explains how it works, provides instructions on how to install it, and demonstrates its functionality.
How It Works
- Baby AGI runs an infinite loop that pulls the first task from the task list, sends it to an execution agent that uses OpenAI's API to complete the task based on context, enriches the result and stores it in Pinecone storage place. It then creates new tasks and re-prioritizes existing tasks based on the overall goal.
Installation
- Clone the repository by copying the link from GitHub page and running
git clonecommand in terminal.
- Install Python requirements using
pip install -r requirements.txt.
- Update
.m.examplefile with OpenAPI key, model (default is Chachi PT 3.5 turbo), Pinecone API key, environment (pre-populated or custom), table name, objective (e.g., grow Twitter following), and first task.
- Save
.mfile after updating all necessary information.
- Run
babyagi.pyfile from Visual Studio Code or preferred editor.
Demonstration
- After initializing Pinecone database, Baby AGI generates a task list for putting together a list of interesting content for Twitter as part of growing Twitter following objective.
Introduction to Autonomous AI
In this section, the speaker introduces the concept of autonomous AI and how it can be used to perform tasks on our behalf.
Curating a Collection of Memes and GIFs
- The first task that the speaker mentions is curating a collection of memes and GIFs.
- This task runs continuously and is performed by an autonomous AI.
- The speaker expresses excitement about having an AI perform tasks in the background, saving time.
Conclusion
- The speaker concludes by asking viewers to like and subscribe if they found the video interesting.