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Unlocking the Power of Auto-GPT and Its Plugins

You're reading from Unlocking the Power of Auto-GPT and Its Plugins Implement, customize, and optimize Auto-GPT for building robust AI applications

Product type Paperback

Published in Sep 2024

Publisher Packt

ISBN-13 9781805128281

Length 142 pages

Edition 1st Edition

Tools

Docker

Concepts

Artificial Intelligence

Author (1):

Wladislav Cugunov

View More author details

Table of Contents (10) Chapters

Preface

1. Chapter 1: Introducing Auto-GPT FREE CHAPTER

2. Chapter 2: From Installation to Your First AI-Generated Text

3. Chapter 3: Mastering Prompt Generation and Understanding How Auto-GPT Generates Prompts

4. Chapter 4: Short Introduction to Plugins

5. Chapter 5: Use Cases and Customization through Applying Auto-GPT to Your Projects

6. Chapter 6: Scaling Auto-GPT for Enterprise-Level Projects with Docker and Advanced Setup

7. Chapter 7: Using Your Own LLM and Prompts as Guidelines

8. Index

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9. Other Books You May Enjoy

Summary

In this comprehensive chapter, we delved into the installation and setup of Auto-GPT across various OSs, including Windows, macOS, and Linux, equipping you with the essential knowledge to get started. We began by outlining the system requirements for each platform and provided detailed instructions for installing Python 3.10, which is crucial for running Auto-GPT. Our guide included different methods to obtain Auto-GPT, such as cloning the repository via Git or downloading it from GitHub as a ZIP file.

Once you had Auto-GPT on your system, we led you through its installation using Docker (recommended), Git, or without either. We also explained the process of configuring your .env file with your unique OpenAI API key and settings for GPT models in the FAST_LLM_MODEL and SMART_LLM_MODEL attributes.

After successfully setting up Auto-GPT, we introduced the fundamental concepts of text generation models such as GPT-3/GPT-4 from OpenAI, discussing neural networks, deep learning...

The rest of the chapter is locked

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Authors (1)

Wladislav Cugunov

Wladislav Cugunov

Wladislav Cugunov is a senior software developer and visionary technologist known for his exceptional skills and innovative, determined mindset. At age 12, he built a LEGO helicopter to prove to his dad that LEGO could indeed fly, even though it exploded after he doubled the electricity. At 15, he constructed his first Tesla coil, causing an electromagnetic pulse (EMP) when attempting to drive a coilgun with it. His coding journey began with Batch and VBA when he tried to replicate Jarvis from Iron Man in 2008, progressing to Node.js to build a trading bot, Bash, Java, Ruby, C, Python, Kotlin, C#, PHP, and Swift. Dissatisfied with the direction of Auto-GPT, he started making suggestions and improvements until he was invited to come on board and help AutoGPT grow.

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