Implementation of seamless assistance with Google Assistant leveraging cloud computing
Jiaxin Huang, Yifan Zhang, Jingyu Xu, Binbin Wu, Bo Liu, Yulu Gong
Abstract
AI and cloud native are mutually reinforcing and inseparable. Due to the huge storage and computing power requirements, most AI applications need cloud support, especially large model applications If cloud native has influenced the software industry to a considerable extent in the past few years, the big model boom means that cloud native has become a standard option for developers.This paper describes the rise of AI model applications and their integration with traditional development workflows, pointing out the challenges that enterprises and developers face when integrating large models. With the rise of cloud-native technologies, the combination of artificial intelligence and cloud computing is becoming increasingly important. Cloud-native technologies provide the infrastructure needed to build and run resilient and scalable applications, while distributed infrastructure supports multi-cloud integration, enabling a unified foundation of "one cloud, multiple computing." As an intelligent voice Assistant, Google Assistant achieves a more intelligent, convenient and efficient user experience through applications in smart home control, enterprise customer service and healthcare. Finally, this paper points out the advantages of combining Google Assistant with cloud computing, providing a more intelligent, convenient, and efficient user experience.