{"product_id":"llm-engineers-handbook-by-paul-iusztin","title":"LLM Engineer's Handbook\nby Paul Iusztin","description":"\u003cp\u003eStep into the world of LLMs with this practical guide that takes you from the fundamentals to deploying advanced applications using LLMOps best practices\u003c\/p\u003e\n\n\u003cp\u003eGet With Your Book: PDF Copy, AI Assistant, and Next-Gen Reader Free\u003c\/p\u003e\n\n\u003cp\u003eKey Features\u003cbr\u003e\nBuild and refine LLMs step by step, covering data preparation, RAG, and fine-tuning\u003cbr\u003e\nLearn essential skills for deploying and monitoring LLMs, ensuring optimal performance in production\u003cbr\u003e\nUtilize preference alignment, evaluation, and inference optimization to enhance performance and adaptability of your LLM applications\u003cbr\u003e\nBook Description\u003cbr\u003e\nArtificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems.\u003c\/p\u003e\n\n\u003cp\u003eThroughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects.\u003c\/p\u003e\n\n\u003cp\u003eBy the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.\u003c\/p\u003e\n\n\u003cp\u003eWhat you will learn\u003cbr\u003e\nImplement robust data pipelines and manage LLM training cycles\u003cbr\u003e\nCreate your own LLM and refine it with the help of hands-on examples\u003cbr\u003e\nGet started with LLMOps by diving into core MLOps principles such as orchestrators and prompt monitoring\u003cbr\u003e\nPerform supervised fine-tuning and LLM evaluation\u003cbr\u003e\nDeploy end-to-end LLM solutions using AWS and other tools\u003cbr\u003e\nDesign scalable and modularLLM systems\u003cbr\u003e\nLearn about RAG applications by building a feature and inference pipeline\u003cbr\u003e\nWho this book is for\u003cbr\u003e\nThis book is for AI engineers, NLP professionals, and LLM engineers looking to deepen their understanding of LLMs. Basic knowledge of LLMs and the Gen AI landscape, Python and AWS is recommended. Whether you are new to AI or looking to enhance your skills, this book provides comprehensive guidance on implementing LLMs in real-world scenarios\u003c\/p\u003e\n\n\u003cp\u003eTable of Contents\u003cbr\u003e\nUnderstanding the LLM Twin Concept and Architecture\u003cbr\u003e\nTooling and Installation\u003cbr\u003e\nData Engineering\u003cbr\u003e\nRAG Feature Pipeline\u003cbr\u003e\nSupervised Fine-Tuning\u003cbr\u003e\nFine-Tuning with Preference Alignment\u003cbr\u003e\nEvaluating LLMs\u003cbr\u003e\nInference Optimization\u003cbr\u003e\nRAG Inference Pipeline\u003cbr\u003e\nInference Pipeline Deployment\u003cbr\u003e\nMLOps and LLMOps\u003c\/p\u003e","brand":"Books Feri","offers":[{"title":"Premium Paperback","offer_id":45409793835199,"sku":null,"price":360.0,"currency_code":"BDT","in_stock":true},{"title":"Premium Hardcover","offer_id":45405208740031,"sku":null,"price":460.0,"currency_code":"BDT","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0692\/8148\/0895\/files\/41vPWhJUj5L._SX342_SY445_FMwebp.webp?v=1772989026","url":"https:\/\/booksferi.store\/products\/llm-engineers-handbook-by-paul-iusztin","provider":"Books Feri","version":"1.0","type":"link"}