{"product_id":"natural-language-processing-with-transformers-revised-edition-1st-edition","title":"Natural Language Processing with Transformers, Revised Edition 1st Edition","description":"\u003ch4\u003e\u003cspan\u003eDetailed Overview:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cstrong\u003e\u003cem\u003eNatural Language Processing with Transformers, Revised Edition (1st Edition)\u003c\/em\u003e\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e by Lewis Tunstall is a practical and comprehensive guide for developers, data scientists\u003c\/strong\u003e, and AI engineers looking to master modern Natural Language Processing (NLP) using transformer-based models. The book focuses on the powerful Hugging Face ecosystem and demonstrates how to build state-of-the-art NLP applications with modern deep learning techniques. Covering both foundational concepts and hands-on implementation, it helps readers understand how transformers have revolutionized tasks such as text classification, question answering, summarization, translation, and conversational AI.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"isSelectedEnd\"\u003e\u003cspan\u003eThe revised edition includes updated workflows, improved model deployment strategies, and the latest transformer architectures used in real-world AI systems. Readers learn how to fine-tune pretrained language models, work with datasets, optimize training pipelines, and deploy NLP applications efficiently. Practical examples and coding exercises make complex AI concepts easier to understand and apply.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eIdeal for machine learning practitioners, software developers, and students, this book bridges the gap between theory and production-ready NLP development. Whether you are building intelligent chatbots, recommendation systems, or advanced language applications, this guide provides the tools and techniques needed to create powerful transformer-based AI solutions using Python and modern machine learning libraries.\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv data-is-intersecting=\"true\" data-turn-id-container=\"request-6a183cc9-0574-8323-ab70-8e7c8f2b1f72-11\" class=\"\"\u003e\n\u003csection data-turn=\"assistant\" data-scroll-anchor=\"false\" data-testid=\"conversation-turn-24\" data-turn-id-container=\"request-6a183cc9-0574-8323-ab70-8e7c8f2b1f72-11\" data-turn-id=\"request-6a183cc9-0574-8323-ab70-8e7c8f2b1f72-11\" dir=\"auto\" class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [\u0026amp;:has([data-writing-block])\u0026gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\"\u003e\n\u003cdiv class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"\u003e\n\u003cdiv class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\"\u003e\n\u003cdiv class=\"flex max-w-full flex-col gap-4 grow\"\u003e\n\u003cdiv data-turn-start-message=\"true\" class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+\u0026amp;]:mt-1\" data-message-model-slug=\"gpt-5-5\" dir=\"auto\" data-message-id=\"08a7cb5a-120e-4910-a858-9dd680c7ea4b\" data-message-author-role=\"assistant\" tabindex=\"0\"\u003e\n\u003cdiv class=\"flex w-full flex-col gap-1 empty:hidden\"\u003e\n\u003cdiv class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\"\u003e\n\u003ch4 data-end=\"276\" data-start=\"0\"\u003e\u003cstrong\u003eProduct Details:\u003c\/strong\u003e\u003c\/h4\u003e\n\u003cp data-is-only-node=\"\" data-is-last-node=\"\" data-end=\"276\" data-start=\"0\"\u003e\u003cstrong\u003eTitle\u003c\/strong\u003e: Natural Language Processing with Transformers, Revised Edition (1st Edition)\u003cbr\u003e\u003cstrong\u003eAuthor\u003c\/strong\u003e: Lewis Tunstall\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781098136796\u003cbr\u003e\u003cstrong\u003eISBN-10\u003c\/strong\u003e: 1098136799\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: O'Reilly Media\u003cbr\u003e\u003cstrong\u003eBinding\u003c\/strong\u003e: Paperback\u003cbr\u003e\u003cstrong\u003eNo of Pages\u003c\/strong\u003e: 706\u003cbr\u003e\u003cstrong\u003eLanguage\u003c\/strong\u003e: English\u003cbr\u003e\u003cstrong\u003ePublisher Date\u003c\/strong\u003e: February 2022\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c\/div\u003e","brand":"The Books Empire","offers":[{"title":"Default Title","offer_id":47861329461413,"sku":null,"price":42.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0761\/2206\/3013\/files\/natural.jpg?v=1779980039","url":"https:\/\/thebooksempire.com\/products\/natural-language-processing-with-transformers-revised-edition-1st-edition","provider":"The Books Empire","version":"1.0","type":"link"}