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Dear Reader,

Welcome, and thank you for purchasing the MEAP of LLM Reliability. We are living in an incredible time for AI, where Large Language Models (LLMs) have revolutionized the way we interact with technology, opening up possibilities that were once unimaginable. But the true power of these models lies not just in their creation but in their ability to be deployed effectively in real-world, production-level applications—and that’s where this book comes in.

This book is written for developers, engineers, and data scientists who are ready to take their knowledge of Large Language Models (LLMs) beyond theory and into real-world, production-level applications. To get the most out of this book, it helps if you have a basic understanding of Python programming and some familiarity with LLMs like OpenAI and Claude. If you’re comfortable with LLM basics like hallucinations and prompting, you’re well-prepared to jump right in. Even if you’re newer to LLMs, this book is designed to build on foundational knowledge and guide you step-by-step toward successfully deploying LLMs in production environments.

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