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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

Developing Software with Generative AI

While this book is about integrating generative AI particularly LLMs into software applications, in this chapter, we’ll talk about how we can leverage LLMs to help in software development. This is a big topic; software development has been highlighted in reports by several consultancies, such as KPMG and McKinsey, as one of the domains impacted most by generative AI.

We’ll first discuss how LLMs could help in coding tasks, and I’ll provide an overview to see how far we have come in automating software development. Then, we’ll play around with a few models, evaluating the generated code qualitatively. Next, we’ll implement a fully automated agent for software development tasks. We’ll go through the design choices and show some of the results that we got in an agent implementation of only a few lines of Python with LangChain. We’ll mention many possible extensions to this approach.

Throughout...

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