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Hands-On Large Language Models

Official code repository for the O'Reilly Book - "Hands-On Large Language Models".

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Introduction

Hands-On Large Language Models

Welcome to the official code repository for the O'Reilly Book - "Hands-On Large Language Models" by Jay Alammar and Maarten Grootendorst. This repository contains all the code examples from the book, designed to help you understand and utilize Large Language Models (LLMs) effectively.

Key Features:
  • Comprehensive Code Examples: Explore practical code snippets that illustrate the concepts discussed in the book.
  • Visual Learning: The book includes nearly 300 custom-made figures to enhance understanding of complex topics.
  • Google Colab Compatibility: All examples are built and tested on Google Colab, providing an easy setup with free access to T4 GPUs.
  • Quick-Start Guides: Setup folders and conda guides are available for local installations, ensuring a smooth start for users.
Benefits:
  • Educational Resource: Ideal for anyone looking to grasp the intricacies of LLMs, from beginners to advanced users.
  • Expert Insights: Learn from industry experts with practical applications and real-life examples.
  • Community Support: Engage with contributors and other users through GitHub discussions and issues.
Highlights:
  • The book is praised for its clarity and practical approach, making it a must-read for anyone interested in AI and LLMs.
  • Continual updates and additional guides are provided to keep the content relevant and informative.

Consider citing the book in your research to support the authors' work!

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Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/28

Categories

  • AI Models
  • AI Application Platforms
  • AI Development Frameworks

Tags

  • Model Robustness
  • Open Source
  • LLM
  • AI Education
  • AI Alignment
  • Generative AI

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