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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

Software development and AI

The emergence of powerful AI systems like ChatGPT has sparked great interest in using AI as a tool to assist software developers. A June 2023 report by KPMG estimated that about 25% of software development tasks could be automated away. A McKinsey report from the same month highlighted software development as a function, where generative AI can have a significant impact in terms of cost reduction and efficiency gain.

Today’s AI assistants integrate predictive typing, syntax checking, code generation, and other features to directly support software development workflows, realizing early aspirations to automate programming itself.

New code LLMs such as ChatGPT and Microsoft’s Copilot are highly popular generative AI models, with millions of users and significant productivity-boosting capabilities. There are different tasks related to programming that LLMs can tackle, such as these:

  • Code completion/generation: This task involves...
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