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Generative AI with LangChain

You're reading from Generative AI with LangChain

Product type Book

Published in Dec 2023

Publisher Packt

ISBN-13 9781835083468

Pages 360 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Author (1):

Ben Auffarth

Table of Contents (13) Chapters

Preface

What Is Generative AI?

LangChain for LLM Apps

Getting Started with LangChain

Building Capable Assistants

Building a Chatbot like ChatGPT

Developing Software with Generative AI

LLMs for Data Science

Customizing LLMs and Their Output

Generative AI in Production

The Future of Generative Models

Other Books You May Enjoy

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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Authors (1)

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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