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Unlock the hidden force behind truly intelligent AI systems.
AI Context Engineering reveals how to design smarter prompts, memory systems, and retrieval pipelines that transform Large Language Models (LLMs) from simple text generators into powerful, context-aware applications.
Packed with practical insights, examples, and real-world architectures, this book teaches you how to build AI systems that remember, reason, and adapt - using techniques like RAG, memory retention, and multi-agent orchestration.
Whether you're a developer, researcher, or AI enthusiast, this guide will help you master the most crucial - yet overlooked - skill in modern AI: engineering the context that drives intelligence.
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