Hybrid AI Systems: Merging Small and Large Language Models for Efficient Intelligence: A Practical Guide to Task Orchestration, Model Optimization, Edge Deployment, and Scalable Production - Brossura
Sinossi
Unlock the Future of Artificial Intelligence with Hybrid AI Systems: Merging Small and Large Language Models for Efficient Intelligence
This definitive guide empowers engineers, AI practitioners, and researchers to design and deploy cost-efficient, scalable, and secure AI applications that seamlessly integrate Small Language Models (SLMs) and Large Language Models (LLMs). By combining the agility of lightweight SLMs with the deep reasoning of LLMs, hybrid AI systems deliver context-aware intelligence across edge devices and cloud environments, balancing performance, cost, and sustainability.
Dive into a practical roadmap for building hybrid AI ecosystems, packed with actionable insights and hands-on tools. Learn to orchestrate tasks using confidence-based routing, escalation triggers, and telemetry-driven workflows. Master model distillation and compression to optimize SLMs for edge hardware while leveraging LLMs for complex reasoning via secure cloud APIs. From Docker containerization and Kubernetes orchestration to monitoring dashboards with Prometheus and Grafana, this book equips you with production-ready blueprints, Python code samples, and FastAPI integrations. Whether you are deploying real-time assistants on constrained devices or architecting enterprise-scale AI systems, this guide bridges efficiency with innovation.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Hybrid AI Systems: Merging Small and Large Language...
Foto dell'editore
Hybrid AI Systems (Paperback)
Print on DemandDa: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Unlock the Future of Artificial Intelligence with Hybrid AI Systems: Merging Small and Large Language Models for Efficient IntelligenceThis definitive guide empowers engineers, AI practitioners, and researchers to design and deploy cost-efficient, scalable, and secure AI applications that seamlessly integrate Small Language Models (SLMs) and Large Language Models (LLMs). By combining the agility of lightweight SLMs with the deep reasoning of LLMs, hybrid AI systems deliver context-aware intelligence across edge devices and cloud environments, balancing performance, cost, and sustainability.Dive into a practical roadmap for building hybrid AI ecosystems, packed with actionable insights and hands-on tools. Learn to orchestrate tasks using confidence-based routing, escalation triggers, and telemetry-driven workflows. Master model distillation and compression to optimize SLMs for edge hardware while leveraging LLMs for complex reasoning via secure cloud APIs. From Docker containerization and Kubernetes orchestration to monitoring dashboards with Prometheus and Grafana, this book equips you with production-ready blueprints, Python code samples, and FastAPI integrations. Whether you are deploying real-time assistants on constrained devices or architecting enterprise-scale AI systems, this guide bridges efficiency with innovation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798269148137
Compra nuovo
EUR 17,42
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Hybrid AI Systems: Merging Small and Large Language Models for Efficient Intelligence: A Practical Guide to Task Orchestration, Model Optimization, Edge Deployment, and Scalable Production
Print on DemandDa: California Books, Miami, FL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: New. Print on Demand. Codice articolo I-9798269148137
Compra nuovo
EUR 17,43
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Hybrid AI Systems
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 4 su 5 stelle
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9798269148137
Compra nuovo
EUR 17,47
Spedizione EUR 3,79
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: Più di 20 disponibili
Foto dell'editore
Hybrid AI Systems (Paperback)
Print on DemandDa: CitiRetail, Stevenage, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. Unlock the Future of Artificial Intelligence with Hybrid AI Systems: Merging Small and Large Language Models for Efficient IntelligenceThis definitive guide empowers engineers, AI practitioners, and researchers to design and deploy cost-efficient, scalable, and secure AI applications that seamlessly integrate Small Language Models (SLMs) and Large Language Models (LLMs). By combining the agility of lightweight SLMs with the deep reasoning of LLMs, hybrid AI systems deliver context-aware intelligence across edge devices and cloud environments, balancing performance, cost, and sustainability.Dive into a practical roadmap for building hybrid AI ecosystems, packed with actionable insights and hands-on tools. Learn to orchestrate tasks using confidence-based routing, escalation triggers, and telemetry-driven workflows. Master model distillation and compression to optimize SLMs for edge hardware while leveraging LLMs for complex reasoning via secure cloud APIs. From Docker containerization and Kubernetes orchestration to monitoring dashboards with Prometheus and Grafana, this book equips you with production-ready blueprints, Python code samples, and FastAPI integrations. Whether you are deploying real-time assistants on constrained devices or architecting enterprise-scale AI systems, this guide bridges efficiency with innovation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798269148137
Compra nuovo
EUR 21,92
Spedizione EUR 42,60
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili