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Fix typos in first_isvc.md (#394)
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Update first_isvc.md

Signed-off-by: Eduardo Apolinario <[email protected]>
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eapolinario authored Sep 2, 2024
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## Run your first InferenceService

In this tutorial, you will deploy an InferenceService with a predictor that will load a scikit-learn model trained with
the [iris](https://archive.ics.uci.edu/ml/datasets/iris) dataset. This dataset has three output class: Iris Setosa, Iris Versicolour, and Iris Virginica.
the [iris](https://archive.ics.uci.edu/ml/datasets/iris) dataset. This dataset has three output classes: Iris Setosa, Iris Versicolour, and Iris Virginica.

You will then send an inference request to your deployed model in order to get a prediction for the class of iris plant your request corresponds to.

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```
!!! Warning
Do not deploy `InferenceServices` in control plane namespaces (i.e. namespaces with `control-plane` label). The webhook is configured
in a way to skip these namespaces to avoid any privillage escalations. Deploying InferenceServices to these namespaces will result in the storage initializer not being
in a way to skip these namespaces to avoid any privilege escalations. Deploying InferenceServices to these namespaces will result in the storage initializer not being
injected into the pod, causing the pod to fail with the error `No such file or directory: '/mnt/models'`.

### 3. Check `InferenceService` status.
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