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Multilingual Artificial Intelligence is a guide for non-computer science specialists and learners looking to explore the implementation of AI technologies to solve real-life problems involving language data.
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Can DeepL and ChatGPT translate Shakespeare? How can we venture beyond conventional translation, exploring its experimental essence?
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Bemærk: Kan ikke garanteres før jul. Se dato på varen.
Bemærk: Kan ikke leveres før jul.
Algebraic Structures in Natural Language by bringing together leading researchers from computational and mathematical linguistics, psychology and behavioural... Læs mere
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Advances in Graph based Natural Language Processing (NLP) and Information Retrieval (IR) tasks have shown the importance of processing Graph of Words.
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In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.
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The focus of this book is primarily on Natural Language Processing, the area of AI devoted to the development of models of language interpretation and... Læs mere
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Chapters 6 and 7 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 8, 9, and 10 discuss recurrent neural networks, convolutional neural networks, and graph neural networks.
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'Natural Language Processing in the Real World' is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions.
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This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs. Industry experts John Berryman and Albert Ziegler share how to communicate effectively with AI, transforming your ideas into a language model-friendly format.
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This book is the second volume of a two-volume set that synchronically and diachronically studies the Jin dialect in Northern Shaanxi Province in China, with a focus on six grammatical features of the dialect.