Unlocking the Power of Auto-GPT and Its Plugins: Implement, customize, and optimize Auto-GPT for building robust AI applications
Author:   Wladislav Cugunov
Publisher:   Packt Publishing Limited
ISBN:  

9781805128281


Pages:   142
Publication Date:   13 September 2024
Format:   Paperback
Availability:   In Print   Availability explained
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Unlocking the Power of Auto-GPT and Its Plugins: Implement, customize, and optimize Auto-GPT for building robust AI applications


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Full Product Details

Author:   Wladislav Cugunov
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781805128281


ISBN 10:   1805128280
Pages:   142
Publication Date:   13 September 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Table of Contents Introduction to Auto-GPT From Installation to Your First AI-Generated Text Mastering Prompt Generation and Understanding How AutoGPT 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

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Author Information

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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