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Produktbild: Unlocking the Power of Auto-GPT and Its Plugins | Wladislav Cugunov
Weitere Ansicht: Unlocking the Power of Auto-GPT and Its Plugins | Wladislav Cugunov
Produktbild: Unlocking the Power of Auto-GPT and Its Plugins | Wladislav Cugunov

Unlocking the Power of Auto-GPT and Its Plugins

Implement, customize, and optimize Auto-GPT for building robust AI applications

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Harness the revolutionary power of Auto-GPT and its plugins to transform your projects with advanced AI capabilities
Key Features:
- Discover the untapped power of Auto-GPT, opening doors to limitless AI possibilities
- Craft your own AI applications, from chat assistants to speech companions, with step-by-step guidance
- Explore advanced AI topics like Docker configuration and LLM integration for cutting-edge AI development
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
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.
What You Will Learn:
- Develop a solid understanding of Auto-GPT's fundamental principles
- Hone your skills in creating engaging and effective prompts
- Effectively harness the potential of Auto-GPT's versatile plugins
- Tailor and personalize AI applications to meet specific requirements
- Proficiently manage Docker configurations for advanced setup
- Ensure the safe and efficient use of continuous mode
- Integrate your own LLM with Auto-GPT for enhanced performance
Who this book is for:
This book is for developers, data scientists, and AI enthusiasts interested in leveraging the power of Auto-GPT and its plugins to create powerful AI applications. Basic programming knowledge and an understanding of artificial intelligence concepts are required to make the most of this book. Familiarity with the terminal will also be helpful.
Table of Contents
- Introducing Auto-GPT
- From Installation to Your First AI-Generated Text
- Mastering Prompt Generation and Understanding How Auto-GPT Generates Prompts
- Short Introduction to Plugins
- Use Cases and Customization through Applying Auto-GPT to Your Projects
- Scaling Auto-GPT for Enterprise-Level Projects with Docker and Advanced Setup
- Using Your Own LLM and Prompts as Guidelines

Produktdetails

Erscheinungsdatum
13. September 2024
Sprache
englisch
Seitenanzahl
142
Autor/Autorin
Wladislav Cugunov
Verlag/Hersteller
Produktart
kartoniert
Gewicht
280 g
Größe (L/B/H)
235/191/8 mm
ISBN
9781805128281

Portrait

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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