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Merge pull request #16697 from PhilKang0704/broken-link-fix-sethmanheim
Broken links fixing - sethmanheim
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AKS-Hybrid/deploy-ai-model.md

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@@ -119,7 +119,7 @@ To deploy the AI model, follow these steps:
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1. Create a YAML file using the following template. KAITO supports popular OSS models such as Falcon, Phi3, Llama2, and Mistral. This list might increase over time.
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- The **PresetName** is used to specify which model to deploy, and you can find its value in the [supported model file](https://github.com/Azure/kaito/blob/main/presets/models/supported_models.yaml) in the GitHub repo. In the following example, `falcon-7b-instruct` is used for the model deployment.
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- The **PresetName** is used to specify which model to deploy, and you can find its value in the [supported model file](https://github.com/kaito-project/kaito/blob/main/presets/workspace/models/supported_models.yaml) in the GitHub repo. In the following example, `falcon-7b-instruct` is used for the model deployment.
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- We recommend using `labelSelector` and `preferredNodes` to explicitly select the GPU node by name. In the following example, `app: llm-inference` is used for the GPU node `moc-le4aoguwyd9`. You can choose any node label you want, as long as the labels match. The next step shows how to label the node.
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```yaml

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