{"product_id":"9783031857461","title":"Machine Translation: Technologies and Applications: Efficacy, Fine-Tuning, and Inference Techniques","description":"\u003ch1\u003eMachine Translation: Technologies and Applications: Efficacy, Fine-Tuning, and Inference Techniques\u003c\/h1\u003e \u003ch2\u003ePassban, Peyman; Way, Andy; Rezagholizadeh, Mehdi\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eThis book is a pioneering exploration of the state-of-the-art techniques that drive large language models (LLMs) toward greater efficiency and scalability. Edited by three distinguished experts—Peyman Passban, Mehdi Rezagholizadeh, and Andy Way—this book presents practical solutions to the growing challenges of training and deploying these massive models. With their combined experience across academia, research, and industry, the authors provide insights into the tools and strategies required to improve LLM performance while reducing computational demands.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; line-height: 115%;\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman';\"\u003eThis book is more than just a technical guide; it bridges the gap between research and real-world applications. Each chapter presents cutting-edge advancements in inference optimization, model architecture, and fine-tuning techniques, all designed to enhance the usability of LLMs in diverse sectors. Readers will find extensive discussions on the practical aspects of implementing and deploying LLMs in real-world scenarios. The book serves as a comprehensive resource for researchers and industry professionals, offering a balanced blend of in-depth technical insights and practical, hands-on guidance. It is a go-to reference book for students, researchers in computer science and relevant sub-branches, including machine learning, computational linguistics, and more.\u003c\/span\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-07-05\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031857461\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-85747-8\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 183\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44309608366220,"sku":"9783031857461","price":152.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031857461.jpg?v=1776012665","url":"https:\/\/lateknightbooks.com\/products\/9783031857461","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}