SKU/Artículo: AMZ-3032011515

Building Recommender Systems Using Large Language Models

Format:

Paperback

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.34 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • This book offers a comprehensive exploration of the intersection between Large Language Models (LLMs) and recommendation systems, serving as a practical guide for practitioners, researchers, and students in AI, natural language processing, and data science. It addresses the limitations of traditional recommendation techniques—such as their inability to fully understand nuanced language, reason dynamically over user preferences, or leverage multi-modal data—and demonstrates how LLMs can revolutionize personalized recommendations. By consolidating fragmented research and providing structured, hands-on tutorials, the book bridges the gap between cutting-edge research and real-world application, empowering readers to design and deploy next-generation recommender systems.Structured for progressive learning, the book covers foundational LLM concepts, the evolution from classic to LLM-powered recommendation systems, and advanced topics including end-to-end LLM recommenders, conversational agents, and multi-modal integration. Each chapter blends theoretical insights with practical coding exercises and real-world case studies, such as fashion recommendation and generative content creation. The final chapters discuss emerging challenges, including privacy, fairness, and future trends, offering a forward-looking roadmap for research and application. Readers with a basic understanding of machine learning and NLP will find this resource both accessible and invaluable for building effective, modern recommendation systems enhanced by LLMs.
AR$279.386
60% OFF
AR$111.755

IMPORT EASILY

By purchasing this product you can deduct VAT with your RUT number

AR$279.386
60% OFF
AR$111.755

10% OFF con cupon ANIVERSARIO10

Pagá fácil y rápido con Mercado Pago o MODO

Llega en 8 a 12 días hábiles
con envío
Tienes garantía de entrega
Este producto viaja de USA a tus manos en