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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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Toc

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

I think it’s a good habit to check that you’ve digested the material when reading a technical book. For this purpose, I’ve created a few questions relating to the content of this chapter. Let’s see if you can answer them:

  1. What is a generative model?
  2. What applications exist for generative models?
  3. What is an LLM and what does it do?
  4. How can we get better performance from LLMs?
  5. What are the conditions that make LLM models possible?
  6. Which companies and organizations are the big players in developing LLMs?
  7. How are LLMs licensed? Give a few examples.
  8. What is a transformer and what does it consist of?
  9. What does GPT stand for?
  10. How does Stable Diffusion work?

Join our community on Discord

Join our community’s Discord space for discussions with the authors and other readers:

https://packt.link/lang

You have been reading a chapter from
Generative AI with LangChain
Published in: Dec 2023
Publisher: Packt
ISBN-13: 9781835083468
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