Forum Discussion
Scaling Multi-Modal pipelines azure open ai
I'm working on a project with multi-modal data answering user queries about videos. I was wondering what are common approaches using azure opena ai? I'm interested in scalability and security as we...
I guess there are different ways to approach this type of project, but one that comes to my mind is to start by using Azure Cognitive Services like Video Indexer, which can extract valuable data from videos, such as transcriptions, scenes, and objects. Once the data is extracted, you can use Azure OpenAI models like GPT-4 to process and generate responses based on the information from the videos.
Then for scalability, Azure has different options for flexible cloud infrastructure like Kubernetes and Azure Functions, which you can use to automatically scale to meet the needs of your application. This way, your system can handle a growing number of video queries efficiently.
And for security, to protect your data, you have Azure has encryption, access control, and compliance with industry standards. You can be confident that your video data and the AI models will be secure as you scale them.
Hope it helps!
