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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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Table of Contents (10) Chapters Close

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 9. Other Books You May Enjoy

Known current examples and requisites

While GPT-3 and GPT-4 by OpenAI are renowned LLMs, there are other models in the AI landscape worth noting:

  • GPT-3.5-Turbo: A product of OpenAI, GPT-3 stands out due to its extensive training on hundreds of gigabytes of text, enabling it to produce remarkably human-like text. However, its compatibility with Auto-GPT is limited, making it less preferred for certain applications.
  • GPT-4: The successor to GPT-3, GPT-4 offers enhanced capabilities and is more suited for integration with Auto-GPT, providing a more seamless experience.
  • BERT: Google’s Bidirectional Encoder Representations from Transformers (BERT) is another heavyweight in the LLM arena. Unlike GPT-3 and GPT-4, which are generative, BERT is discriminative, making it more adept at understanding text than generating it.
  • RoBERTa: A brainchild of Facebook, RoBERTa is a BERT variant trained on an even larger dataset, surpassing BERT in several benchmarks.
  • Llama...
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