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Название: LLM Reliability: Performance, hallucinations, accuracy, and bias (MEAP v6)Автор: Rush Shahani
Издательство: Manning Publications
Год: 2025
Страниц: 310
Язык: английский
Формат: pdf, epub
Размер: 14.2 MB
Tested strategies to reduce hallucinations, improve performance and cost efficiency, and reduce bias or unethical behavior in your LLMs outputs. LLM Reliability shows you exactly how to guide large language models from research prototypes to scalable, robust, and efficient production systems. From model training to maintenance, an engineer will find everything they need to work with LLMs in this one-stop guide. 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. For data scientists or software engineers confident in Python and NLP.
