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paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Da: Lakeside Books, Benton Harbor, MI, U.S.A.
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Aggiungi al carrelloPaperback. Condizione: New. AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today.You'll learn how to use the power of pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; build systems that classify and cluster text to enable scalable understanding of large numbers of text documents; and use existing libraries and pretrained models for text classification, search, and clusterings.This book also shows you how to:Build advanced LLM pipelines to cluster text documents and explore the topics they belong toBuild semantic search engines that go beyond keyword search with methods like dense retrieval and rerankersLearn various use cases where these models can provide valueUnderstand the architecture of underlying Transformer models like BERT and GPTGet a deeper understanding of how LLMs are trainedOptimize LLMs for specific applications with methods such as generative model fine-tuning, contrastive fine-tuning, and in-context learning.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Editore: O'Reilly Media
Da: Academic Book Solutions, Medford, NY, U.S.A.
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Da: California Books, Miami, FL, U.S.A.
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Aggiungi al carrelloPaperback. Condizione: New. AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today.You'll learn how to use the power of pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; build systems that classify and cluster text to enable scalable understanding of large numbers of text documents; and use existing libraries and pretrained models for text classification, search, and clusterings.This book also shows you how to:Build advanced LLM pipelines to cluster text documents and explore the topics they belong toBuild semantic search engines that go beyond keyword search with methods like dense retrieval and rerankersLearn various use cases where these models can provide valueUnderstand the architecture of underlying Transformer models like BERT and GPTGet a deeper understanding of how LLMs are trainedOptimize LLMs for specific applications with methods such as generative model fine-tuning, contrastive fine-tuning, and in-context learning.
Da: Books Puddle, New York, NY, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 63,84
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Aggiungi al carrelloCondizione: New. 2024. 1st Edition. paperback. . . . . .
Da: Majestic Books, Hounslow, Regno Unito
EUR 69,77
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Da: Chiron Media, Wallingford, Regno Unito
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Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2024. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,88
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Da: Revaluation Books, Exeter, Regno Unito
EUR 79,25
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Aggiungi al carrelloPaperback. Condizione: Brand New. 400 pages. 9.19x7.00x9.19 inches. In Stock.
EUR 56,85
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Aggiungi al carrelloPaperback. Condizione: New. AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today.You'll learn how to use the power of pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; build systems that classify and cluster text to enable scalable understanding of large numbers of text documents; and use existing libraries and pretrained models for text classification, search, and clusterings.This book also shows you how to:Build advanced LLM pipelines to cluster text documents and explore the topics they belong toBuild semantic search engines that go beyond keyword search with methods like dense retrieval and rerankersLearn various use cases where these models can provide valueUnderstand the architecture of underlying Transformer models like BERT and GPTGet a deeper understanding of how LLMs are trainedOptimize LLMs for specific applications with methods such as generative model fine-tuning, contrastive fine-tuning, and in-context learning.
Condizione: New.
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EUR 62,09
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Aggiungi al carrelloCondizione: New. Über den AutorJay Alammar is Director and Engineering Fellow at Cohere (pioneering provider of large language models as an API). In this role, he advises and educates enterprises and the developer community on using language models .
EUR 59,03
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Aggiungi al carrelloPaperback. Condizione: New. AI has acquired startling new language capabilities in just the past few years. Driven by the rapid advances in deep learning, language AI systems are able to write and understand text better than ever before. This trend enables the rise of new features, products, and entire industries. With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today.You'll learn how to use the power of pretrained large language models for use cases like copywriting and summarization; create semantic search systems that go beyond keyword matching; build systems that classify and cluster text to enable scalable understanding of large numbers of text documents; and use existing libraries and pretrained models for text classification, search, and clusterings.This book also shows you how to:Build advanced LLM pipelines to cluster text documents and explore the topics they belong toBuild semantic search engines that go beyond keyword search with methods like dense retrieval and rerankersLearn various use cases where these models can provide valueUnderstand the architecture of underlying Transformer models like BERT and GPTGet a deeper understanding of how LLMs are trainedOptimize LLMs for specific applications with methods such as generative model fine-tuning, contrastive fine-tuning, and in-context learning.
EUR 43,04
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Da: Chiron Media, Wallingford, Regno Unito
EUR 46,85
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EUR 50,93
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Da: Revaluation Books, Exeter, Regno Unito
EUR 61,43
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Aggiungi al carrelloperfect. Condizione: Brand New. 448 pages. German language. 6.38x1.02x9.29 inches. In Stock.
EUR 49,90
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Aggiungi al carrelloCondizione: New. Autor/Autorin: Jay AlammarJay Alammar ist Direktor und Engineering Fellow bei Cohere, dem Vorreiter bei der Bereitstellung von Large Language Models als API. In dieser Funktion beraet und schult er Unternehmen und die Entwicklergemeinschaft bei der .