標(biāo)題: Titlebook: Empowering the Public Sector with Generative AI; From Strategy and De Sanjeev Pulapaka,Srinath Godavarthi,Sherry Ding Book 2024 Sanjeev Pul [打印本頁] 作者: 呻吟 時(shí)間: 2025-3-21 19:04
書目名稱Empowering the Public Sector with Generative AI影響因子(影響力)
書目名稱Empowering the Public Sector with Generative AI影響因子(影響力)學(xué)科排名
書目名稱Empowering the Public Sector with Generative AI網(wǎng)絡(luò)公開度
書目名稱Empowering the Public Sector with Generative AI網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Empowering the Public Sector with Generative AI被引頻次
書目名稱Empowering the Public Sector with Generative AI被引頻次學(xué)科排名
書目名稱Empowering the Public Sector with Generative AI年度引用
書目名稱Empowering the Public Sector with Generative AI年度引用學(xué)科排名
書目名稱Empowering the Public Sector with Generative AI讀者反饋
書目名稱Empowering the Public Sector with Generative AI讀者反饋學(xué)科排名
作者: 發(fā)現(xiàn) 時(shí)間: 2025-3-21 22:42 作者: 協(xié)定 時(shí)間: 2025-3-22 02:06 作者: 懸崖 時(shí)間: 2025-3-22 05:58
http://image.papertrans.cn/f/image/320585.jpg作者: Femish 時(shí)間: 2025-3-22 09:23
https://doi.org/10.1007/978-1-4684-1740-1nd then it generates code?” The professor had this strange look and responded, “No, you need to develop the code, compile, and run it.” Getting a computer to generate code using a flowchart was a silly thought or a brilliant thought at the time depending on how you look at it. Here we are, thirty or作者: ADORE 時(shí)間: 2025-3-22 15:53
https://doi.org/10.1007/978-4-431-55840-8ook, however, is primarily about the application of GenAI to the public sector. At its core, the mission of public sector organizations (PSOs) is to ensure the safety, well-being, and livelihood of the constituents they serve. However, delivering on this critical mission is an enormously complex und作者: ADORE 時(shí)間: 2025-3-22 19:01 作者: 阻塞 時(shí)間: 2025-3-22 22:17
https://doi.org/10.1007/978-0-387-47530-1rch, and reporting. In the next four chapters, we will go into greater detail on each of these applications using concepts described in Chapter . such as prompt engineering and Retrieval-Augmented Generation. In this chapter, we will describe how GenAI applications can help with content generation t作者: circuit 時(shí)間: 2025-3-23 01:25
https://doi.org/10.1007/978-94-010-9529-7 generation, and code generation, each with slightly different architectures, implementation considerations, and use case examples. In this chapter, we’ll take a deeper look at another widely adopted use case: chatbots.作者: 使熄滅 時(shí)間: 2025-3-23 05:54
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.作者: Hla461 時(shí)間: 2025-3-23 13:23 作者: 慢跑鞋 時(shí)間: 2025-3-23 14:17 作者: Creatinine-Test 時(shí)間: 2025-3-23 22:00 作者: 防銹 時(shí)間: 2025-3-23 22:10 作者: 玉米 時(shí)間: 2025-3-24 04:53
Building a Generative AI Application,In Chapter ., we briefly introduced Foundation Models (FMs). In this chapter, we will explore the key aspects and components of Generative AI (GenAI)–based applications. Some of the concepts we will discuss in this chapter are作者: 欄桿 時(shí)間: 2025-3-24 08:25 作者: 新義 時(shí)間: 2025-3-24 14:33
979-8-8688-0472-4Sanjeev Pulapaka, Srinath Godavarthi and Dr. Sherry Ding 2024作者: tattle 時(shí)間: 2025-3-24 17:15 作者: 神圣將軍 時(shí)間: 2025-3-24 22:43
https://doi.org/10.1007/978-0-387-47530-1rch, and reporting. In the next four chapters, we will go into greater detail on each of these applications using concepts described in Chapter . such as prompt engineering and Retrieval-Augmented Generation. In this chapter, we will describe how GenAI applications can help with content generation tasks.作者: JOT 時(shí)間: 2025-3-25 03:02 作者: 教育學(xué) 時(shí)間: 2025-3-25 05:01
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.作者: Temporal-Lobe 時(shí)間: 2025-3-25 10:50 作者: hegemony 時(shí)間: 2025-3-25 14:38 作者: 教育學(xué) 時(shí)間: 2025-3-25 17:12 作者: 意外的成功 時(shí)間: 2025-3-25 20:19 作者: Mawkish 時(shí)間: 2025-3-26 01:35 作者: 開始發(fā)作 時(shí)間: 2025-3-26 06:01 作者: 宏偉 時(shí)間: 2025-3-26 08:44
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:作者: invulnerable 時(shí)間: 2025-3-26 13:30
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.作者: 多產(chǎn)子 時(shí)間: 2025-3-26 20:13 作者: gain631 時(shí)間: 2025-3-26 22:42
https://doi.org/10.1007/978-4-431-55840-8ertaking given the scale, diversity of needs, regulatory requirements, and budgetary constraints involved. PSOs must grapple with providing seamless customer experiences, empowering employees, making data-driven decisions, optimizing operational costs, and safeguarding against threats, including fraud and cyber attacks.作者: 毀壞 時(shí)間: 2025-3-27 04:57
https://doi.org/10.1007/3-540-58672-5result in the loss of funding, underscoring the importance of robust reporting capabilities. As an example, the US Congress authorized the Center for Medicare and Medicaid Services (CMS) to withhold funds from states that do not satisfy certain reporting requirements.作者: Keshan-disease 時(shí)間: 2025-3-27 06:48
Introduction to Generative AI, so years later: it is not only possible to generate code with simple natural language instructions but also possible to convert code from one language into another! And this is possible with Generative AI (GenAI)!作者: Stress 時(shí)間: 2025-3-27 10:52
GenAI and the Public Sector,ertaking given the scale, diversity of needs, regulatory requirements, and budgetary constraints involved. PSOs must grapple with providing seamless customer experiences, empowering employees, making data-driven decisions, optimizing operational costs, and safeguarding against threats, including fraud and cyber attacks.作者: 環(huán)形 時(shí)間: 2025-3-27 14:13
Program Management, Business Intelligence, and Reporting,result in the loss of funding, underscoring the importance of robust reporting capabilities. As an example, the US Congress authorized the Center for Medicare and Medicaid Services (CMS) to withhold funds from states that do not satisfy certain reporting requirements.作者: COW 時(shí)間: 2025-3-27 18:53
Book 2024 a range of topics from GenAI concepts and strategy to public sector use cases, architecture patterns, and implementation best practices. With a general background in technology and the public sector, you will be able to understand the concepts in this book...The book will help you develop a deeper 作者: Basal-Ganglia 時(shí)間: 2025-3-27 23:58 作者: TEM 時(shí)間: 2025-3-28 04:48 作者: 尖牙 時(shí)間: 2025-3-28 08:25
GenAI and the Public Sector,ook, however, is primarily about the application of GenAI to the public sector. At its core, the mission of public sector organizations (PSOs) is to ensure the safety, well-being, and livelihood of the constituents they serve. However, delivering on this critical mission is an enormously complex und作者: Liberate 時(shí)間: 2025-3-28 14:06 作者: 谷物 時(shí)間: 2025-3-28 14:39
Content Generation,rch, and reporting. In the next four chapters, we will go into greater detail on each of these applications using concepts described in Chapter . such as prompt engineering and Retrieval-Augmented Generation. In this chapter, we will describe how GenAI applications can help with content generation t作者: leniency 時(shí)間: 2025-3-28 22:22 作者: 神圣將軍 時(shí)間: 2025-3-29 00:08
Summarization,load 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.
