Synopsis
Large Language Models (LLMs) represent a groundbreaking evolution in the field of artificial intelligence, blending theory, practice, and future potential to reshape industries and human-computer interaction. At the theoretical level, LLMs are rooted in deep learning architectures, which allow them to process and generate natural language with fluency. In practice, they transform sectors like healthcare, education, customer service, and content creation, by automating tasks, providing insights, and enhancing user experiences. However, the use of LLMs also brings challenges, like ethical concerns regarding bias, misinformation, and data privacy, alongside technical issues like computational costs. The future of LLMs may focus on improving their efficiency, addressing ethical dilemmas, and integrating them into specialized applications. As research progresses, LLMs may become more adaptable, intelligent, and integrated into daily life, with the potential to redefine human-machine collaboration. Theory, Practice, and Future Direction of Large Language Models explores the transformative power of large language models (LLMs) by delving into their theoretical foundations, practical applications, and future potential. It showcases an array of applications across industries, demonstrating how LLMs solve real-world problems, enhance productivity, and drive innovation in fields like healthcare, finance, education, and entertainment. This book covers topics such as ethics and bias, robotics, and task automation, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.
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Paperback. Condition: new. Paperback. Large Language Models (LLMs) represent a groundbreaking evolution in the field of artificial intelligence, blending theory, practice, and future potential to reshape industries and human-computer interaction. At the theoretical level, LLMs are rooted in deep learning architectures, which allow them to process and generate natural language with fluency. In practice, they transform sectors like healthcare, education, customer service, and content creation, by automating tasks, providing insights, and enhancing user experiences. However, the use of LLMs also brings challenges, like ethical concerns regarding bias, misinformation, and data privacy, alongside technical issues like computational costs. The future of LLMs may focus on improving their efficiency, addressing ethical dilemmas, and integrating them into specialized applications. As research progresses, LLMs may become more adaptable, intelligent, and integrated into daily life, with the potential to redefine human-machine collaboration. Theory, Practice, and Future Direction of Large Language Models explores the transformative power of large language models (LLMs) by delving into their theoretical foundations, practical applications, and future potential. It showcases an array of applications across industries, demonstrating how LLMs solve real-world problems, enhance productivity, and drive innovation in fields like healthcare, finance, education, and entertainment. This book covers topics such as ethics and bias, robotics, and task automation, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798369383889
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Paperback. Condition: new. Paperback. Large Language Models (LLMs) represent a groundbreaking evolution in the field of artificial intelligence, blending theory, practice, and future potential to reshape industries and human-computer interaction. At the theoretical level, LLMs are rooted in deep learning architectures, which allow them to process and generate natural language with fluency. In practice, they transform sectors like healthcare, education, customer service, and content creation, by automating tasks, providing insights, and enhancing user experiences. However, the use of LLMs also brings challenges, like ethical concerns regarding bias, misinformation, and data privacy, alongside technical issues like computational costs. The future of LLMs may focus on improving their efficiency, addressing ethical dilemmas, and integrating them into specialized applications. As research progresses, LLMs may become more adaptable, intelligent, and integrated into daily life, with the potential to redefine human-machine collaboration. Theory, Practice, and Future Direction of Large Language Models explores the transformative power of large language models (LLMs) by delving into their theoretical foundations, practical applications, and future potential. It showcases an array of applications across industries, demonstrating how LLMs solve real-world problems, enhance productivity, and drive innovation in fields like healthcare, finance, education, and entertainment. This book covers topics such as ethics and bias, robotics, and task automation, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798369383889
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Taschenbuch. Condition: Neu. Theory, Practice, and Future Direction of Large Language Models | Ismail Lamaakal (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798369383889 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 134079769
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Paperback. Condition: new. Paperback. Large Language Models (LLMs) represent a groundbreaking evolution in the field of artificial intelligence, blending theory, practice, and future potential to reshape industries and human-computer interaction. At the theoretical level, LLMs are rooted in deep learning architectures, which allow them to process and generate natural language with fluency. In practice, they transform sectors like healthcare, education, customer service, and content creation, by automating tasks, providing insights, and enhancing user experiences. However, the use of LLMs also brings challenges, like ethical concerns regarding bias, misinformation, and data privacy, alongside technical issues like computational costs. The future of LLMs may focus on improving their efficiency, addressing ethical dilemmas, and integrating them into specialized applications. As research progresses, LLMs may become more adaptable, intelligent, and integrated into daily life, with the potential to redefine human-machine collaboration. Theory, Practice, and Future Direction of Large Language Models explores the transformative power of large language models (LLMs) by delving into their theoretical foundations, practical applications, and future potential. It showcases an array of applications across industries, demonstrating how LLMs solve real-world problems, enhance productivity, and drive innovation in fields like healthcare, finance, education, and entertainment. This book covers topics such as ethics and bias, robotics, and task automation, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798369383889
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