Advancements in Multi-Agent Large Language Model Systems for Next-Generation AI (Paperback)

Satya Prakash Yadav

ISBN 13: 9798337314204

Published by IGI Global, Hershey, PA, 2025

About this Item

Paperback. Multi-agent systems powered by large language models (LLMs) emerge as a groundbreaking approach to building more capable, autonomous, and collaborative AI. Unlike traditional single-agent models, multi-agent LLM systems coordinate multiple specialized agents, each with unique roles and capabilities, to solve complex tasks more efficiently and intelligently. Recent advancements in this field have driven innovations across domains such as robotics, software development, scientific research, and strategic decision-making. These systems represent a shift toward the next-generation AI that is more powerful, adaptable, interactive, and aligned with human goals. Advancements in Multi-Agent Large Language Model Systems for Next-Generation AI explores LLMs and multi-agent systems to generate sophisticated AI models. It examines these models as powerful tools to solve complicated problems in intelligent technology applications. This book covers topics such as data science, quantum computing, and sustainability, and is a useful resource for business owners, computer engineering, academicians, researchers, and scientists. "This book investigates and progresses the creation of Multi-Agent Large Language Model (LLM) Systems, which can overcome the drawbacks of conventional single-agent systems by utilizing cooperation, specialization, and coordination across several AI agents"-- Provided by publisher. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Bibliographic Details

• Title: Advancements in Multi-Agent Large Language Model Systems for Next-Generation AI (Paperback)
• Publisher: IGI Global, Hershey, PA
• Publication Date: 2025
• Language: English
• ISBN 13: 9798337314204
• Binding: Paperback
• Condition: new

About this title

Synopsis

Multi-agent systems powered by large language models (LLMs) emerge as a groundbreaking approach to building more capable, autonomous, and collaborative AI. Unlike traditional single-agent models, multi-agent LLM systems coordinate multiple specialized agents, each with unique roles and capabilities, to solve complex tasks more efficiently and intelligently. Recent advancements in this field have driven innovations across domains such as robotics, software development, scientific research, and strategic decision-making. These systems represent a shift toward the next-generation AI that is more powerful, adaptable, interactive, and aligned with human goals. Advancements in Multi-Agent Large Language Model Systems for Next-Generation AI explores LLMs and multi-agent systems to generate sophisticated AI models. It examines these models as powerful tools to solve complicated problems in intelligent technology applications. This book covers topics such as data science, quantum computing, and sustainability, and is a useful resource for business owners, computer engineering, academicians, researchers, and scientists.