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    <title>Thư viện số Bộ sưu tập:</title>
    <link>http://thuvienso.thanglong.edu.vn//handle/TLU/7676</link>
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    <pubDate>Fri, 04 Sep 2026 18:37:33 GMT</pubDate>
    <dc:date>2026-09-04T18:37:33Z</dc:date>
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      <title>ChatGPT : principles and architecture</title>
      <link>http://thuvienso.thanglong.edu.vn//handle/TLU/14743</link>
      <description>Nhan đề : ChatGPT : principles and architecture
Tác giả : Cheng, Ge
Tóm tắt : ChatGPT:Offers comprehensive insights into the principles and architecture of ChatGPT, helping readers understand the intricacies of large language models. Details large language model technologies, covering key aspects such as pretraining, transfer learning, middleware programming, and addressing technical aspects in an accessible manner Includes real-world examples and case studies, illustrating how large language models can be applied in various industries and professional settings. Provides future developments and potential innovations in the field of large language models, preparing readers for upcoming changes and technological advancements</description>
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      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-01-01T00:00:00Z</dc:date>
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      <title>Architecting Enterprise AI Applications :A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions</title>
      <link>http://thuvienso.thanglong.edu.vn//handle/TLU/14742</link>
      <description>Nhan đề : Architecting Enterprise AI Applications :A Guide to Designing Reliable, Scalable, and Secure Enterprise-Grade AI Solutions
Tác giả : Cagle, Anton
Tóm tắt : What You Will Learn: Understand the algorithms and processes that enable AI to make accurate predictions and enhance decision making. Grasp the concept of metasystems and their role in the design phase of AI applications. Know how data, machine learning, and reasoners drive the functionality and decision-making capabilities of AI applications.Know the architectural components necessary for scalable and maintainable multi-agent AI applications. Understand methodologies for testing AI applications, ensuring their robustness, accuracy, and reliability in real-world applications.Understand the evolving dynamics of human-AI coordination facing teams in the new enterprise working environment.</description>
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      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-01-01T00:00:00Z</dc:date>
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      <title>Exam Ref AZ-104 Microsoft Azure Administrator</title>
      <link>http://thuvienso.thanglong.edu.vn//handle/TLU/14741</link>
      <description>Nhan đề : Exam Ref AZ-104 Microsoft Azure Administrator
Tác giả : Pluta, Charles
Tóm tắt : Prepare for Microsoft Exam AZ-104 and demonstrate your real-world mastery and knowledge of Microsoft Azure administration. Designed for working Azure administrators, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Solutions Associate level. Focus on the expertise measured by these objectives: Manage Azure identities and governanceImplement and manage storage, Deploy and manage. Azure compute resources Implement and manage virtual networking. Monitor and maintain Azure resources.</description>
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      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-01-01T00:00:00Z</dc:date>
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      <title>5G fixed wireless access : revolutionizing connectivity in the digital age</title>
      <link>http://thuvienso.thanglong.edu.vn//handle/TLU/14740</link>
      <description>Nhan đề : 5G fixed wireless access : revolutionizing connectivity in the digital age
Tác giả : Alimi, Isiaka
Tóm tắt : This book explores the transformative potential of 5G technology in delivering high-speed broadband services through wireless means, particularly targeting underserved and rural areas. It covers several key topics including high-frequency spectrum bands, advanced transmission schemes, multi-connectivity, adaptive numerology, and Integrated Access and Backhaul (IAB).</description>
      <content:encoded>Sách/Book</content:encoded>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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      <dc:date>2025-01-01T00:00:00Z</dc:date>
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