{ "item_title" : "Ultimate Context Engineering", "item_author" : [" Hawke Nexon "], "item_description" : "Are your Large Language Models underperforming? It's not your prompts-it's your context.You've built LLM applications, but they deliver inconsistent, generic, or inaccurate results. The problem isn't the model's intelligence; it's the quality of the information it's given. This book is your definitive guide to mastering the new, essential discipline of context engineering, transforming you from a basic prompt-tuner to a professional AI builder.Ultimate Context Engineering: Build Genius LLMs provides the proven strategies and practical techniques you need to create truly intelligent, reliable, and production-ready generative AI systems.This book is for: AI engineers, machine learning developers, and data scientists who want to move beyond basic prompt engineering to create robust, high-performance LLM applications and AI agents.Inside, you will discover how to: Implement Retrieval-Augmented Generation (RAG) to connect your models to a private knowledge base, giving them access to real-time, accurate data.Overcome token limits by mastering advanced data-structuring and summarization techniques.Engineer dynamic system prompts and manage conversational memory to build stateful, interactive assistants.Systematically reduce common LLM challenges like hallucinations and inconsistent output.Build a robust evaluation framework to measure and continuously improve your AI development process.Accelerate your journey from foundational knowledge to advanced, real-world LLM development.Stop guessing and start engineering. The future of high-performance AI is in context. Master it today.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/829/628/9798296282613_b.jpg", "price_data" : { "retail_price" : "15.99", "online_price" : "15.99", "our_price" : "15.99", "club_price" : "15.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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