AI-05 deprecated GPT model, pricing tier issue, Foundry suggestion
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 55/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Quiet
- Tech stack
- azure
- Domain
- cloud, documentation
Research direction
Start with the AI-05 instructions, especially the model deployment and “Create a notebook and install required libraries” sections. Verify which GPT model, Foundry UI version, and compute options are available for the trial pricing tier, then update the instructions so users can complete those steps successfully.
Written by the indexing model from the issue text.
Description
Instructions state to deploy a GPT-4o model in Foundry. This model is deprecated in the platform and is no longer able to be deployed. As a test i was able to successfully deploy a GPT 5.1 model, suggest updating the instructions with 5.1 or other supported model.
In addition to this, the instructions are derailed by the introduction of the new Foundry UI. In order for the instructions to correctly guide the user, the UI has to be switched back to the old version using the toggle button in the top bar of Foundry.
In the "Create a notebook and install required libraries" section, it mentions to select "serverless" as the default compute. This is not an option, as soon as Notebook is selected in the create menu, it is generated with no obvious method of changing the default compute settings. This may be due to the initial Databricks config within the Azure portal, as Serverless is not an option for the trial pricing tier.
- Dominant language
- PowerShell
- Stars
- 81
- Forks
- 108
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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