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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

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Product type Paperback
Published in Sep 2024
Publisher Packt
ISBN-13 9781805128281
Length 142 pages
Edition 1st Edition
Tools
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Author (1):
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Wladislav Cugunov Wladislav Cugunov
Author Profile Icon Wladislav Cugunov
Wladislav Cugunov
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Toc

Table of Contents (10) Chapters Close

Preface 1. Chapter 1: Introducing Auto-GPT 2. Chapter 2: From Installation to Your First AI-Generated Text FREE CHAPTER 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 9. Other Books You May Enjoy

What an LLM is and GPT as an LLM

We’ve used the term LLM a lot in this book. At this point, we need to discover what an LLM is.

At the most fundamental level, an LLM such as GPT is a machine learning model. Machine learning is a subset of AI that enables computers to learn from data. In the case of LLMs, this data is predominantly text – lots and lots of it. Imagine an LLM as a student who has read not just one or two books but millions of them, covering a wide array of topics from history and science to pop culture and memes.

The architecture – neurons and layers

The architecture of an LLM is inspired by the human brain and consists of artificial neurons organized in layers. These layers are interconnected, and each connection has a weight that is adjusted during the learning process. The architecture usually involves multiple layers, often hundreds or even thousands, making it a “deep” neural network. This depth allows the model to learn...

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