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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

Why subscribe?

9. Other Books You May Enjoy

From Installation to Your First AI-Generated Text

Now that we have finished the first chapter, let’s discuss the must-have requirements of Auto-GPT.

At this point, before we start, whether you choose to register for an application programming interface (API) account or not at OpenAI is up to you. I first recommend trying to install and start Auto-GPT before registering, in case Auto-GPT only works in Docker (which could happen as it keeps changing); it may or may not be possible for you to run Auto-GPT. However, let’s begin by setting up Auto-GPT without the account. Otherwise, you will have an OpenAI account but there is no need for it.

In this chapter, we will guide you through preparing your machine to run Auto-GPT, the installation process, and your first steps with Auto-GPT.

We’ll cover the fundamental concepts, installation, and setup instructions for Auto-GPT. We will conclude by explaining how to execute your first AI-automated task using Auto...

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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