Theory Practice Future Direction (23 results)
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- Softcover
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- Softcover
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Theory, Practice, and Future Direction of Large Language Models
Lamaakal, Ismail (EDT); Maleh, Yassine (EDT); El Makkaoui, Khalid (EDT); Ouahbi, Ibrahim (EDT); Abd El-latif, Ahmed (EDT)
- Softcover
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- Softcover
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- Softcover
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Theory, Practice, and Future Direction of Large Language Models
Lamaakal, Ismail (EDT); Maleh, Yassine (EDT); El Makkaoui, Khalid (EDT); Ouahbi, Ibrahim (EDT); Abd El-latif, Ahmed (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Theory, Practice, and Future Direction of Large Language Models
Lamaakal, Ismail (EDT); Maleh, Yassine (EDT); El Makkaoui, Khalid (EDT); Ouahbi, Ibrahim (EDT); Abd El-latif, Ahmed (EDT)
- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Theory, Practice, and Future Direction of Large Language Models
Lamaakal, Ismail (EDT); Maleh, Yassine (EDT); El Makkaoui, Khalid (EDT); Ouahbi, Ibrahim (EDT); Abd El-latif, Ahmed (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
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- Hardcover
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- Softcover
- Print on Demand
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multi Sensory Environments provides a conceptual framework of developing a MSE and facilitating a delivery model.
More images- Softcover
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Multi Sensory Environments | Developing Theory and Guiding Practice for Future Direction | Sandra Fornes | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | [.] | EAN 9781257830565 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbie…ter: preigu Print on Demand.
- Softcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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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 all…ow 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.
- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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Hardcover. Condition: new. Hardcover. 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 all…ow 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.
- Softcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
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US$ 234.52
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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.
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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US$ 280.32
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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, LL…Ms 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.
- Hardcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
Contact seller5-star sellerCondition: New
US$ 284.28
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Buch. Condition: Neu. Theory, Practice, and Future Direction of Large Language Models | Ismail Lamaakal (u. a.) | Buch | Englisch | 2025 | IGI Global | EAN 9798369383872 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
Contact seller5-star sellerCondition: New
US$ 339.77
US$ 74.66 shippingShips from Germany to U.S.A.Quantity: 2 available
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
