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Titlebook: Empowering the Public Sector with Generative AI; From Strategy and De Sanjeev Pulapaka,Srinath Godavarthi,Sherry Ding Book 2024 Sanjeev Pul

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樓主: 呻吟
21#
發(fā)表于 2025-3-25 05:01:22 | 只看該作者
https://doi.org/10.1007/3-540-58671-7load is a constant struggle. Government agencies, research institutions, and public organizations are inundated with massive volumes of data, reports, documents, and communications on a daily basis. As an example, the US public sector is potentially the largest producer of data.
22#
發(fā)表于 2025-3-25 10:50:34 | 只看該作者
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發(fā)表于 2025-3-25 14:38:07 | 只看該作者
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發(fā)表于 2025-3-25 17:12:52 | 只看該作者
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發(fā)表于 2025-3-26 01:35:27 | 只看該作者
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發(fā)表于 2025-3-26 06:01:36 | 只看該作者
28#
發(fā)表于 2025-3-26 08:44:14 | 只看該作者
Implementation, Operations, and Maintenance,Os). In this chapter, we will delve into implementation considerations that enable responsible, secure, and successful deployment of GenAI solutions. Our goal is to equip readers with specific technical considerations and nuances for GenAI implementation. In this chapter, we will dive deep into the following topics:
29#
發(fā)表于 2025-3-26 13:30:00 | 只看該作者
Summary, Emerging Industry Trends, and Next Steps, the quality of services they provide to constituents. From content generation to conversational interfaces, from content summarization to reporting and analytics, GenAI has the tremendous potential to drive efficiencies and enhance mission delivery across diverse domains.
30#
發(fā)表于 2025-3-26 20:13:51 | 只看該作者
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