Bose ranajoy (17 risultati)
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Da: Marlton Books, Bridgeton, NJ, U.S.A.Marlton Books
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EUR 46,99
EUR 2,63 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Condizione: Acceptable. Readable, but has significant damage / tears. Has a remainder mark. paperback Used - Acceptable 2026.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 56,46
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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 61,47
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 61,18
EUR 2,32 spedizioneSpedito in U.S.A.Quantità: 3 disponibili
Condizione: As New. Unread book in perfect condition.
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 63,91
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 55,67
EUR 8,94 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 55,66
EUR 17,58 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Condizione: New.
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 62,14
EUR 17,58 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Condizione: As New. Unread book in perfect condition.
- Altre immagini
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Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 58,84
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Neuware -Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap between large language models (LLMs) and real-world knowledge. This book provides the definitive roadmap for building, optimizing, and deploying enterprise-grade RAG systems that deliver meas…urable business value.This comprehensive guide takes you beyond basic concepts to advanced implementation strategies, covering everything from architectural patterns to production deployment. You'll explore proven techniques for document processing, vector optimization, retrieval enhancement, and system scaling, supported by real-world case studies from leading organizations.Key Learning ObjectivesDesign and implement production-ready RAG architectures for diverse enterprise use casesMaster advanced retrieval strategies including graph-based approaches and agentic systemsOptimize performance through sophisticated chunking, embedding, and vector database techniquesNavigate the integration of RAG with modern LLMs and generative AI frameworksImplement robust evaluation frameworks and quality assurance processesDeploy scalable solutions with proper security, privacy, and governance controlsReal-World ApplicationsIntelligent document analysis and knowledge extraction 860 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 58,84
EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Neuware -Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap between large language models (LLMs) and real-world knowledge. This book provides the definitive roadmap for building, optimizing, and deploying enterprise-grade RAG systems that deliver meas…urable business value.This comprehensive guide takes you beyond basic concepts to advanced implementation strategies, covering everything from architectural patterns to production deployment. You'll explore proven techniques for document processing, vector optimization, retrieval enhancement, and system scaling, supported by real-world case studies from leading organizations.Key Learning ObjectivesDesign and implement production-ready RAG architectures for diverse enterprise use casesMaster advanced retrieval strategies including graph-based approaches and agentic systemsOptimize performance through sophisticated chunking, embedding, and vector database techniquesNavigate the integration of RAG with modern LLMs and generative AI frameworksImplement robust evaluation frameworks and quality assurance processesDeploy scalable solutions with proper security, privacy, and governance controlsReal-World ApplicationsIntelligent document analysis and knowledge extraction 860 pp. Englisch.
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Da: Wegmann1855, Zwiesel, GermaniaWegmann1855
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 58,84
EUR 25,95 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Neuware -Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap between large language models (LLMs) and real-world knowledge. This book provides the definitive roadmap for building, optimizing, and deploying enterprise-grade RAG systems that deliver meas…urable business value.This comprehensive guide takes you beyond basic concepts to advanced implementation strategies, covering everything from architectural patterns to production deployment. You'll explore proven techniques for document processing, vector optimization, retrieval enhancement, and system scaling, supported by real-world case studies from leading organizations.Key Learning Objectives- Design and implement production-ready RAG architectures for diverse enterprise use cases- Master advanced retrieval strategies including graph-based approaches and agentic systems- Optimize performance through sophisticated chunking, embedding, and vector database techniques- Navigate the integration of RAG with modern LLMs and generative AI frameworks- Implement robust evaluation frameworks and quality assurance processes- Deploy scalable solutions with proper security, privacy, and governance controlsReal-World Applications- Intelligent document analysis and knowledge extraction- Code generation and technical documentation systems- Customer support automation and decision support tools- Regulatory compliance and risk management solutionsWhether you're an AI engineer scaling existing systems or a technical leader planning next-generation capabilities, this book provides the expertise needed to succeed in the rapidly evolving landscape of enterprise AI.What You Will Learn- Architecture Mastery: Design scalable RAG systems from prototype to enterprise production- Advanced Retrieval: Implement sophisticated strategies, including graph-based and multi-modal approaches- Performance Optimization: Fine-tune embedding models, vector databases, and retrieval algorithms for maximum efficiency- LLM Integration: Seamlessly combine RAG with state-of-the-art language models and generative AI frameworks- Production Excellence: Deploy robust systems with monitoring, evaluation, and continuous improvement processes- Industry Applications: Apply RAG solutions across diverse enterprise sectors and use cases Who This Book Is ForPrimary audience: Senior AI/ML engineers, data scientists, and technical architects building production AI systems; secondary audience: Engineering managers, technical leads, and AI researchers working with large-scale language models and information retrieval systemsPrerequisites: Intermediate Python programming, basic understanding of machine learning concepts, and familiarity with natural language processing fundamentals.
Editore: Apress
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Da: Academic Book Solutions, Medford, NY, U.S.A.Academic Book Solutions
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 56,89
EUR 3,50 spedizioneSpedito in U.S.A.Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.
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Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 52,45
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Mastering Retrieval-Augmented Generation | Advanced Techniques and Production-Ready Solutions for Enterprise AI | Ranajoy Bose | Taschenbuch | xxxix | Englisch | 2026 | Apress | EAN 9798868818073 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3,…14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 58,84
EUR 66,38 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Neuware - Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap between large language models (LLMs) and real-world knowledge. This book provides the definitive roadmap for building, optimizing, and deploying enterprise-grade RAG systems that deliver mea…surable business value.This comprehensive guide takes you beyond basic concepts to advanced implementation strategies, covering everything from architectural patterns to production deployment. You'll explore proven techniques for document processing, vector optimization, retrieval enhancement, and system scaling, supported by real-world case studies from leading organizations.Key Learning ObjectivesDesign and implement production-ready RAG architectures for diverse enterprise use casesMaster advanced retrieval strategies including graph-based approaches and agentic systemsOptimize performance through sophisticated chunking, embedding, and vector database techniquesNavigate the integration of RAG with modern LLMs and generative AI frameworksImplement robust evaluation frameworks and quality assurance processesDeploy scalable solutions with proper security, privacy, and governance controlsReal-World ApplicationsIntelligent document analysis and knowledge extraction.
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 50,23
EUR 5,50 spedizioneSpedito da Italia a U.S.A.Quantità: Più di 20 disponibili
Condizione: new. Questo è un articolo print on demand.
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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 73,61
EUR 43,35 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap between large language models (LLMs) and real-world knowledge. This book provides the definitive roadmap for building, optimizing, and deploying enterprise-grade RAG systems that deliver meas…urable business value.This comprehensive guide takes you beyond basic concepts to advanced implementation strategies, covering everything from architectural patterns to production deployment. You'll explore proven techniques for document processing, vector optimization, retrieval enhancement, and system scaling, supported by real-world case studies from leading organizations.Key Learning ObjectivesDesign and implement production-ready RAG architectures for diverse enterprise use casesMaster advanced retrieval strategies including graph-based approaches and agentic systemsOptimize performance through sophisticated chunking, embedding, and vector database techniquesNavigate the integration of RAG with modern LLMs and generative AI frameworksImplement robust evaluation frameworks and quality assurance processesDeploy scalable solutions with proper security, privacy, and governance controlsReal-World ApplicationsIntelligent document analysis and knowledge extractionCode generation and technical documentation systemsCustomer support automation and decision support toolsRegulatory compliance and risk management solutionsWhether you're an AI engineer scaling existing systems or a technical leader planning next-generation capabilities, this book provides the expertise needed to succeed in the rapidly evolving landscape of enterprise AI.What You Will LearnArchitecture Mastery: Design scalable RAG systems from prototype to enterprise productionAdvanced Retrieval: Implement sophisticated strategies, including graph-based and multi-modal approachesPerformance Optimization: Fine-tune embedding models, vector databases, and retrieval algorithms for maximum efficiencyLLM Integration: Seamlessly combine RAG with state-of-the-art language models and generative AI frameworksProduction Excellence: Deploy robust systems with monitoring, evaluation, and continuous improvement processesIndustry Applications: Apply RAG solutions across diverse enterprise sectors and use cases Who This Book Is ForPrimary audience: Senior AI/ML engineers, data scientists, and technical architects building production AI systems; secondary audience: Engineering managers, technical leads, and AI researchers working with large-scale language models and information retrieval systemsPrerequisites: Intermediate Python programming, basic understanding of machine learning concepts, and familiarity with natural language processing fundamentals mso-fareast-font-family: 'Times New Roman';">LLM Integration: Seamlessly combine RAG with state-of-the-art language models and generative AI frameworks 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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- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 58,84
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Retrieval-Augmented Generation (RAG) represents the cutting edge of AI innovation, bridging the gap between large language models (LLMs) and real-world knowledge. This book provides the definitive roadmap for building, optimizing, and…deploying enterprise-grade RAG systems that deliver measurable business value.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 860 pp. Englisch.
