The product is quite new and is still in the preview stage. In short, there are two types of models. The first is a model related to real languages, some analogs of the ChatGPT. With OpenAI, you can integrate a GPT-like chat into your system. The second is working with code (like GitHub Copilot
). Accordingly, you can add the ability to auto-generate code to your applications.
And for dessert, a couple of links related to working with neural networks that can recognize images.
One of the most famous libraries for working with images is PyTorch
. Microsoft is a very active contributor to this ecosystem and there is even a separate PyTorch on Azure
service that greatly simplifies working with this library by quickly deploying everything necessary in the cloud in just a few clicks.
The second link is related to another ecosystem for working with images - YOLOv8
. This is a set of ready-to-use models for different image tasks. I'm providing a link to the GitHub project
that allows you to import and use YOLOv8 models in the Azure Machine Learning Service.
As you can see, Microsoft is on the edge and the ecosystem it provides covers all the necessary tasks for working with ML and AI. You can use tools to create and train your own models, you can use ready-to-use models, and most importantly, you can work with generative neural networks within OpenAI.
That's all from me. I wish you wonderful and productive work on projects with neural networks! And let Microsoft help you with that! :)