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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? 2. LangChain for LLM Apps FREE CHAPTER 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

Please see if you can come up with answers to these questions. I’d recommend you go back to the corresponding sections of this chapter if you are unsure about any of them:

  1. What are the limitations of LLMs?
  2. What are stochastic parrots?
  3. What are LLM applications?
  4. What is LangChain and why should you use it?
  5. What are LangChain’s key features?
  6. What is a chain in LangChain?
  7. What is an agent?
  8. What is memory and why do we need it?
  9. What kind of tools are available in LangChain?
  10. How does LangChain work?
You have been reading a chapter from
Generative AI with LangChain
Published in: Dec 2023
Publisher: Packt
ISBN-13: 9781835083468
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