From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases (2023)
Unlock the full course today
Join today to access over 24,800 courses taught by industry experts.
Introduction to cloud-based generative models for image and video data
From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases (2023)
Introduction to cloud-based generative models for image and video data
- [Narrator] Cloud-based generative models for image and video data are revolutionizing how we deal with pictures and video. Perhaps you use these systems now and maybe don't even know it. They are also focusing on the advantages of generative models for image and video data that are cloud-based. These AI models provide flexibility and efficiency that traditional on-premise solutions simply cannot match. For example, it automatically leverages more processing and storage power as needed and only uses those systems when required. Then it returns the resources to a shared resource pool when completed. This gets us out of the business of constantly buying hardware and software to upgrade and adapt to the requirements of the generative AI system on premises. One example where generative AI models using computer vision would be helpful is identifying flaws in goods being welded on an assembly line. The computer vision…
Contents
-
-
-
-
Introduction to cloud-based storage and data management3m 20s
-
(Locked)
Introduction to cloud-based tools for model training and deployment3m 8s
-
(Locked)
Introduction to cloud-based APIs for generative AI1m 52s
-
(Locked)
Introduction to cloud-based generative models for image and video data2m 39s
-
(Locked)
Introduction to Generative Adversarial Networks (GANs) on the cloud2m 31s
-
(Locked)
Challenge: Set up cloud services for generative AI1m 15s
-
(Locked)
Solution: Set up cloud services for generative AI1m 52s
-
-
-
-
-
-