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Generative AI with LangChain

You're reading from   Generative AI with LangChain Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781835083468
Length 368 pages
Edition 1st Edition
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Author (1):
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Ben Auffarth Ben Auffarth
Author Profile Icon Ben Auffarth
Ben Auffarth
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Table of Contents (13) Chapters Close

Preface 1. What Is Generative AI? FREE CHAPTER 2. LangChain for LLM Apps 3. Getting Started with LangChain 4. Building Capable Assistants 5. Building a Chatbot Like ChatGPT 6. Developing Software with Generative AI 7. LLMs for Data Science 8. Customizing LLMs and Their Output 9. Generative AI in Production 10. The Future of Generative Models 11. Other Books You May Enjoy
12. Index

Questions

If you've read and understood this chapter, you should be able to answer these questions:

  1. What is a generative model?
  2. Which applications exist for generative models?
  3. What's a large language model (LLM) and what does it do?
  4. How can we get bigger performance from LLMs?
  5. What are the conditions that make these models possible?
  6. Which companies and organizations are the big players in developing LLMs?
  7. What is a transformer and what does it consist of?
  8. What does GPT mean?
  9. How does stable diffusion work?
  10. How is stable diffusion trained?

If you struggle to answer these questions, please refer back to the corresponding sections in this chapter to make sure you've understood the material.

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