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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.

The history of software development has been marked by efforts to increase abstraction from machine code to focus more on problem-solving. Early procedural languages like FORTRAN and COBOL in the 1950s enabled this by introducing control structures, variables, and other high-level constructs. As programs grew larger, structured programming concepts emerged to improve code organization through modularity, encapsulation, and stepwise refinement. Object-oriented languages like Simula and Smalltalk in the 1960s-70s introduced new paradigms...

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