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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 376 pages

Edition 1st Edition

Languages

Python

Tools

ChatGPT

Concepts

Artificial Intelligence

Author (1):

Ben Auffarth

View More author details

Table of Contents (14) 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. Unlock Your Book’s Exclusive Benefits

12. Other Books You May Enjoy

13. Index

Questions

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

Give some examples of tools that are available in LangChain.
What is Streamlit and why do we want to use it?
Please explain two agent paradigms.
How can you specify an output for a model?
What are the different options for output parsing?
How does automated fact-checking work?

...

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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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