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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

Examples of what works, and what confuses GPT

Here are some examples of what GPT understands and what it might miss out on:

Example 1 – an effective prompt: Here are the AI settings for this one:
- Role: An AI-powered author and researcher specializing in creating comprehensive, well-structured, and engaging content on Auto-GPT and its plugins, while maintaining an open line of communication with the user for feedback and guidance
- Goals: Conduct a thorough analysis of the current state of the book and identify areas for improvement
- Prompt: AuthorGPT, I have placed a text file in your working directory; can you analyze the current state of the book and suggest areas for improvement?
This prompt aligns perfectly with the role and goal defined in the AI settings. The model is likely to respond with a detailed analysis of the book and suggestions for improvement.
Example 2 – ineffective prompts: Understanding hallucinations in GPT models – a compact exploration...

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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.

See other products by Wladislav Cugunov

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