{"product_id":"9798868822155","title":"The Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers","description":"\u003ch1\u003eThe Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers\u003c\/h1\u003e \u003ch2\u003eGridin, Ivan\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003eThis book is a practical guide to harnessing Hugging Face's powerful transformers library, unlocking access to the largest open-source LLMs. By simplifying complex NLP concepts and emphasizing practical application, it empowers data scientists, machine learning engineers, and NLP practitioners to build robust solutions without delving into theoretical complexities.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003eThe book is structured into three parts to facilitate a step-by-step learning journey. Part One covers building production-ready LLM solutions introduces the Hugging Face library and equips readers to solve most of the common NLP challenges without requiring deep knowledge of transformer internals. Part Two focuses on empowering LLMs with RAG and intelligent agents exploring Retrieval-Augmented Generation (RAG) models, demonstrating how to enhance answer quality and develop intelligent agents. Part Three covers LLM advances focusing on expert topics such as model training, principles of transformer architecture and other c\u003c\/span\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-IN;\"\u003eutting-edge\u003c\/span\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003e techniques \u003c\/span\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-IN;\"\u003erelated to the practical application of language models.\u003c\/span\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003eEach chapter includes practical examples, code snippets, and hands-on projects to ensure applicability to real-world scenarios. This book bridges the gap between theory and practice, providing professionals with the tools and insights to develop practical and efficient LLM solutions.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003eWhat you will learn:\u003c\/span\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-bottom: 0in; line-height: normal; mso-list: l0 level1 lfo1; tab-stops: list .5in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003eWhat are the different types of tasks modern LLMs can solve\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"margin-bottom: 0in; line-height: normal; mso-list: l0 level1 lfo1; tab-stops: list .5in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003eHow to select the most suitable pre-trained LLM for specific tasks\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"margin-bottom: 0in; line-height: normal; mso-list: l0 level1 lfo1; tab-stops: list .5in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003eHow to enrich LLM with a custom knowledge base and build intelligent systems\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"margin-bottom: 0in; line-height: normal; mso-list: l0 level1 lfo1; tab-stops: list .5in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003eWhat are the core principles of Language Models, and how to tune them\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"MsoNormal\" style=\"mso-margin-bottom-alt: auto; line-height: normal; mso-list: l0 level1 lfo1; tab-stops: list .5in;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003eHow to build robust LLM-based AI Applications\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003eWho this book is for:\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: normal;\"\u003e\u003cspan lang=\"EN-IN\" style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN;\"\u003eData scientists, machine learning engineers, and NLP specialists with basic Python skills, introductory PyTorch knowledge, and a primary understanding of deep learning concepts, ready to start applying Large Language Models in practice.\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-12-13\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9798868822155\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/979-8-8688-2216-2\u003c\/p\u003e \u003cp\u003eDimensions: 254cm x178cm\u003c\/p\u003e \u003cp\u003ePages: 360\u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":44677259198604,"sku":"9798868822155","price":53.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9798868822155.jpg?v=1775068586","url":"https:\/\/lateknightbooks.com\/products\/9798868822155","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}