From the course: Enterprise AI Development with GitHub Models and Azure
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Getting started inside a GitHub Codespace
From the course: Enterprise AI Development with GitHub Models and Azure
Getting started inside a GitHub Codespace
- [Instructor] In the previous video, I explained the basics on GitHub Codespaces. Now, we're going to have a look at using GitHub models from inside a codespace. The benefit is that the codespace has been configured with everything you're going to need to get started. There is no local installation of tools, SDKs, or downloading packages to interact with the models, at least not on my physical local machine. There are a lot of examples in the codespace using the different languages we have seen in the playground, as well as examples in Jupyter Cookbooks. I'll show those in a separate video. The codespace is made on a public repo, so you can see all the moving parts. Let's see the codespace in action. From the Marketplace, you can select a model of your choosing, and from the Get started button, you can create a codespace. This button will take you to a window where you can create a new codespace based on the repository I shared. If you have an existing codespace on this repo, you can…
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