Articoli correlati a Practical Generative AI Engineering with LangChain...
Practical Generative AI Engineering with LangChain and LlamaIndex: Building Production-Ready LLM Applications and RAG Systems: 2 - Brossura
Libro 2 di 2: The AI Architect Series
Sinossi
Tired of theoretical Generative AI discussions and grappling with the complexities of building robust, production-grade LLM applications? Are you struggling to move beyond simple prompt engineering to truly leverage the power of LangChain and LlamaIndex for RAG systems and real-world deployment? The gap between exciting LLM capabilities and practical, scalable engineering solutions can feel vast.
In this book you will learn:
• How to architect and implement advanced RAG systems combining LangChain and LlamaIndex for superior retrieval and generation.
• Practical strategies for building, evaluating, and monitoring LLM applications at scale.
• Techniques for optimizing costs, enhancing performance, and ensuring the security of your GenAI solutions.
• Best practices for ethical considerations and responsible AI development in your projects.
• Hands-on methods for deploying LLM workflows into production environments with confidence.
• Master advanced prompt engineering, agentic systems, and output parsing with LangChain.
Who this book is for: This book is meticulously crafted for mid-to-senior level Machine Learning Engineers, Data Scientists, and Software Developers eager to transition from experimental LLM projects to stable, efficient, and impactful production systems.
What's inside: This guide walks you through the journey from understanding core GenAI concepts to implementing advanced solutions, following a clear Problem→Realisation→Solution→Outcome structure. Every technical concept is reinforced with practical code examples available in the companion GitHub repository.
Elevate your Generative AI engineering skills. Transform your LLM concepts into production-ready reality—order your copy today!
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Practical Generative AI Engineering with LangChain and LlamaIndex: Building Production-Ready LLM Applications and RAG Systems (The AI Architect Series)
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Practical Generative AI Engineering with LangChain and LlamaIndex (Paperback)
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Paperback. Condizione: new. Paperback. Tired of theoretical Generative AI discussions and grappling with the complexities of building robust, production-grade LLM applications? Are you struggling to move beyond simple prompt engineering to truly leverage the power of LangChain and LlamaIndex for RAG systems and real-world deployment? The gap between exciting LLM capabilities and practical, scalable engineering solutions can feel vast. In this book you will learn: - How to architect and implement advanced RAG systems combining LangChain and LlamaIndex for superior retrieval and generation.- Practical strategies for building, evaluating, and monitoring LLM applications at scale.- Techniques for optimizing costs, enhancing performance, and ensuring the security of your GenAI solutions.- Best practices for ethical considerations and responsible AI development in your projects.- Hands-on methods for deploying LLM workflows into production environments with confidence.- Master advanced prompt engineering, agentic systems, and output parsing with LangChain. Who this book is for: This book is meticulously crafted for mid-to-senior level Machine Learning Engineers, Data Scientists, and Software Developers eager to transition from experimental LLM projects to stable, efficient, and impactful production systems. What's inside: This guide walks you through the journey from understanding core GenAI concepts to implementing advanced solutions, following a clear ProblemRealisationSolutionOutcome structure. Every technical concept is reinforced with practical code examples available in the companion GitHub repository. Elevate your Generative AI engineering skills. Transform your LLM concepts into production-ready reality-order your copy today! 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 9798198915305
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Practical Generative AI Engineering with LangChain and LlamaIndex : Building Production-Ready LLM Applications and RAG Systems
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Taschenbuch. Condizione: Neu. Neuware - Tired of theoretical Generative AI discussions and grappling with the complexities of building robust, production-grade LLM applications Are you struggling to move beyond simple prompt engineering to truly leverage the power of LangChain and LlamaIndex for RAG systems and real-world deployment The gap between exciting LLM capabilities and practical, scalable engineering solutions can feel vast. In this book you will learn: - How to architect and implement advanced RAG systems combining LangChain and LlamaIndex for superior retrieval and generation.- Practical strategies for building, evaluating, and monitoring LLM applications at scale.- Techniques for optimizing costs, enhancing performance, and ensuring the security of your GenAI solutions.- Best practices for ethical considerations and responsible AI development in your projects.- Hands-on methods for deploying LLM workflows into production environments with confidence.>Who this book is for: This book is meticulously crafted for mid-to-senior level Machine Learning Engineers, Data Scientists, and Software Developers eager to transition from experimental LLM projects to stable, efficient, and impactful production systems. What's inside: This guide walks you through the journey from understanding core GenAI concepts to implementing advanced solutions, following a clear Problem?Realisation?Solution?Outcome structure. Every technical concept is reinforced with practical code examples available in the companion GitHub repository. Elevate your Generative AI engineering skills. Transform your LLM concepts into production-ready reality-order your copy today! Codice articolo 9798198915305
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