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

呻吟

书目名称Empowering the Public Sector with Generative AI影响因子(影响力)




书目名称Empowering the Public Sector with Generative AI影响因子(影响力)学科排名




书目名称Empowering the Public Sector with Generative AI网络公开度




书目名称Empowering the Public Sector with Generative AI网络公开度学科排名




书目名称Empowering the Public Sector with Generative AI被引频次




书目名称Empowering the Public Sector with Generative AI被引频次学科排名




书目名称Empowering the Public Sector with Generative AI年度引用




书目名称Empowering the Public Sector with Generative AI年度引用学科排名




书目名称Empowering the Public Sector with Generative AI读者反馈




书目名称Empowering the Public Sector with Generative AI读者反馈学科排名

发现

协定

悬崖

http://image.papertrans.cn/f/image/320585.jpg

Femish

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

ADORE

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

ADORE

阻塞

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

circuit

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.

使熄灭

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.