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Könyv Advancements in Multi-Agent Large Language Model Systems for Next-Generation AI Houbing Herbert Song

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

Szerző: Houbing Herbert Song
Nyelv: Angol
Kötés: Kemény kötésű
Kiadó: IGI Global
Elérhetőség: Beszállítói készleten
Küldés 10-18 napon belül
85 936 Ft
Multi-agent systems powered by large language models (LLMs) emerge as a groundbreaking approach to b...

Információk a könyvről

Szerző
Houbing Herbert Song
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2025
oldal
356
EAN
9798337314198
Enbook ID
49660696
Kiadó
IGI Global
Súly
865
Méretek
183 x 260 x 24

Teljes leírás

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.

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