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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

Summary

In this chapter, we walked through four distinct ways of installing LangChain and other libraries needed in this book as an environment. Then, we introduced several providers of models for text and images. For each of them, we explained where to get the API token, and demonstrated how to call a model.

Finally, we developed an LLM app for text categorization (intent classification) and sentiment analysis in a use case for customer service. This showcases LangChain’s ease in orchestrating multiple models to create useful applications. By chaining together various functionalities in LangChain, we can help reduce response times in customer service and make sure answers are accurate and to the point.

In Chapter 4, Building Capable Assistants and Chapter 5, Building a Chatbot Like ChatGPT, we’ll dive more into use cases such as question answering in chatbots through augmentation with tools and retrieval.

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