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Practical Generative AI Engineering with LangChain and LlamaIndex: Building Production-Ready LLM Applications and RAG Systems
Paperback
Series: The AI Architect, Book 2
Currently unavailable to order
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Publisher: Independently Published
Pages: 322
Weight: 0.86
Height: 0.80 Width: 6.00 Depth: 9.00
Language: English
- 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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