Arindam Ganguly Ganguly Scaling Enterprise Solutions with Large Language Models

Scaling Enterprise Solutions with Large Language Models

von Arindam Ganguly

Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions

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Beschreibung

Artificial Intelligence (AI) is the bedrock of today's applications, propelling the field towards Artificial General Intelligence (AGI). Despite this advancement, integrating such breakthroughs into large-scale production-grade enterprise applications presents significant challenges. This book addresses these hurdles in the domain of large language models within enterprise solutions.

By leveraging Big Data engineering and popular data cataloguing tools, you’ll see how to transform challenges into opportunities, emphasizing data reuse for multiple AI models across diverse domains. You’ll gain insights into large language model behavior by using tools such as LangChain and LLamaIndex to segment vast datasets intelligently. Practical considerations take precedence, guiding you on effective AI Governance and data security, especially in data-sensitive industries like banking.

This enterprise-focused book takes a pragmatic approach, ensuring large language models align with broader enterprise goals. From data gathering to deployment, it emphasizes the use of low code AI workflow tools for efficiency. Addressing the challenges of handling large volumes of data, the book provides insights into constructing robust Big Data pipelines tailored for Generative AI applications. Scaling Enterprise Solutions with Large Language Models will lead you through the Generative AI application lifecycle and provide the practical knowledge to deploy efficient Generative AI solutions for your business.


Artificial Intelligence (AI) is the bedrock of today's applications, propelling the field towards Artificial General Intelligence (AGI). Despite this advancement, integrating such breakthroughs into large-scale production-grade enterprise applications presents significant challenges. This book addresses these hurdles in the domain of large language models within enterprise solutions.

By leveraging Big Data engineering and popular data cataloguing tools, you’ll see how to transform challenges into opportunities, emphasizing data reuse for multiple AI models across diverse domains. You’ll gain insights into large language model behavior by using tools such as LangChain and LLamaIndex to segment vast datasets intelligently. Practical considerations take precedence, guiding you on effective AI Governance and data security, especially in data-sensitive industries like banking.

This enterprise-focused book takes a pragmatic approach, ensuring large language models align with broader enterprise goals. From data gathering to deployment, it emphasizes the use of low code AI workflow tools for efficiency. Addressing the challenges of handling large volumes of data, the book provides insights into constructing robust Big Data pipelines tailored for Generative AI applications. Scaling Enterprise Solutions with Large Language Models will lead you through the Generative AI application lifecycle and provide the practical knowledge to deploy efficient Generative AI solutions for your business.

What You Will Learn

Who This Book Is For

Enterprise Architects, Technical Architects, Project Managers and Senior Developers.


Explains how to take Generative AI to large scale applications for large enterprises Introduces readers to a number of tools for various phases of the lifecycle of an AI Enterprise Applications Showcase of Large Language Models integration into large application systems providing unparalleled insights for readers

Autor*in

Arindam Ganguly

Themen in »Scaling Enterprise Solutions with Large Language Models«

LlamaIndex LangChain Engineering Enterprise Governance

Stimmen zu »Scaling Enterprise Solutions with Large Language Models«

Details

ISBN: 9798868811531
Verlag: APRESS
Erscheinung: 21.05.2025

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