Garantía de entrega
Artículo: AMZ-B0GCDHFTJN
Hybrid AI Engineering with Small and Large Language Models: Building Reliable AI Architectures Across Edge, Cloud, and Enterprise Systems
Format:
Kindle
Detalles del producto
Disponibilidad
Sin stock
Sin stock
Peso con empaque
0.84 kg
0.84 kg
Devolución
No
No
Condición
Nuevo
Nuevo
Producto de
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Artificial intelligence is no longer defined by a single model running in isolation. As real-world constraints around cost, latency, privacy, and scalability grow more complex, modern AI systems are evolving into hybrid architectures where Small Language Models (SLMs) and Large Language Models (LLMs) work together to deliver intelligent behavior efficiently and reliably. Hybrid AI Engineering with Small and Large Language Models is a practical, engineering-focused guide to designing, building, and operating production-grade hybrid AI systems across edge and cloud environments. Rather than treating SLMs and LLMs as competing approaches, this book shows how to orchestrate them as complementary components within a single, cohesive system. Written for engineers who care about real deployment challenges, this book goes beyond theory to explore the architectural patterns, routing strategies, and operational trade-offs that define successful hybrid AI systems. You will learn how to assign tasks intelligently across models of different sizes, balance performance with cost, and build systems that remain secure, observable, and maintainable at scale. Inside, you’ll explore:Hybrid AI architectures that combine lightweight models for fast, local inference with powerful LLMs for deep reasoningDecision and routing mechanisms using confidence scores, thresholds, and escalation logicModel distillation, compression, and quantization techniques for deploying SLMs on constrained hardwareEdge-to-cloud integration patterns for latency-sensitive and privacy-aware applicationsCost-control strategies for managing inference spend without sacrificing capabilitySecure system design practices for hybrid AI deploymentsMonitoring, evaluation, and lifecycle management for multi-model AI systemsEvery concept is presented from a systems engineering perspective, emphasizing design clarity, scalability, and operational realism. The focus is not on trends or hype, but on building AI infrastructures that can survive real workloads, evolving requirements, and long-term maintenance. This book is ideal for:AI and machine learning engineersSoftware and systems architectsPlatform and infrastructure engineersDevelopers building AI applications for edge, cloud, or hybrid environmentsTechnical leaders responsible for AI system design and governanceIf you are building intelligent systems that must operate efficiently in the real world where performance, cost, security, and scalability all matter, Hybrid AI Engineering with Small and Large Language Models provides the architectural foundation you need to design AI systems that are not just powerful, but practical.
Sin stock
Seleccione otra opción o busque otro producto.
Este producto viaja
de USA ![]()
a tus manos en
![]()
a tus manos en
Compra protegida
Disfruta de una experiencia de compra segura y confiable
![]()
Garantía de entrega
Con Tiendamia todas tus compras cuentan con Garantía de Entrega o devolución total de tu dinero.
Compras 100% seguras y garantizadas, para que pidas lo que sueñas y lo recibas del mundo a tu puerta.
Tarjetas de Débito y Crédito
Visa
Mastercard
American Express
Dinners
Discover
Alias
Pagos a través de PayPal
Compra procesada en dólares con dinero en cuenta o tarjetas internacionales.
PayPal
.svg)
Garantía de entrega 