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  • Book Overview & Buying Unlocking the Power of Auto-GPT and Its Plugins
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Unlocking the Power of Auto-GPT and Its Plugins

Unlocking the Power of Auto-GPT and Its Plugins

By : Wladislav Cugunov
4.3 (3)
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Unlocking the Power of Auto-GPT and Its Plugins

Unlocking the Power of Auto-GPT and Its Plugins

4.3 (3)
By: Wladislav Cugunov

Overview of this book

Unlocking the Power of Auto-GPT and Its Plugins reveals how Auto-GPT is transforming the way we work and live, by breaking down complex goals into manageable subtasks and intelligently utilizing the internet and other tools. With a background as a self-taught full stack developer and key contributor to Auto-GPT’s Inner Team, the author blends unconventional thinking with practical expertise to make Auto-GPT and its plugins accessible to developers at all levels. This book explores the potential of Auto-GPT and its associated plugins through practical applications. Beginning with an introduction to Auto-GPT, it guides you through setup, utilization, and the art of prompt generation. You'll gain a deep understanding of the various plugin types and how to create them. The book also offers expert guidance on developing AI applications such as chat assistants, research aides, and speech companions, while covering advanced topics such as Docker configuration, continuous mode operation, and integrating your own LLM with Auto-GPT. By the end of this book, you'll be equipped with the knowledge and skills needed for AI application development, plugin creation, setup procedures, and advanced Auto-GPT features to fuel your AI journey.
Table of Contents (10 chapters)
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Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

Generative Pre-Trained Transformer 3 (GPT-3) 23

Generative Pre-Trained Transformer 4 (GPT-4) 23

__init__ method 45

A

agents 2

AI interactions

redefining 66

AMD-V 74

application programming interface (API) 13

artificial intelligence 85

ask_user method 48

asynchronous handling 54

authorization check 54

Auto-GPT 13, 23, 39

advancing 11

chain of thought 22

cloning, with Git 20, 21

context length 89

deep learning 23

Docker instance 73

embeddings 89

evolution 3

forest of thought 22

GPT-3 23

GPT-3.5-turbo scenarios, using 4

GPT-4 23

implementing 24, 25

installing 18, 19

instruction template, using 90-92

integrating, with Docker 72

JSON support 90

launching 10, 11

LLMs 3

making, with instance...

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
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