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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

Product type Paperback

Published in Dec 2023

Publisher Packt

ISBN-13 9781835083468

Length 368 pages

Edition 1st Edition

Languages

Python

Tools

ChatGPT

Concepts

Artificial Intelligence

Author (1):

Ben Auffarth

View More author details

Table of Contents (13) Chapters

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:

What are the limitations of LLMs?
What are stochastic parrots?
What are LLM applications?
What is LangChain and why should you use it?
What are LangChain’s key features?
What is a chain in LangChain?
What is an agent?
What is memory and why do we need it?
What kind of tools are available in LangChain?
How does LangChain work?

You have been reading a chapter from

Generative AI with LangChain

Published in: Dec 2023

Publisher: Packt

ISBN-13: 9781835083468

© 2023 Packt Publishing Limited All Rights Reserved

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Authors (1)

Ben Auffarth

Ben Auffarth

Ben Auffarth is a full-stack data scientist with more than 15 years of work experience. With a background and Ph.D. in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds and thousands of transactions per day, and trained language models on a large corpus of text documents. He co-founded and is the former president of Data Science Speakers, London.

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