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tutorials/ai-core-deploy/ai-core-deploy.md

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@@ -180,11 +180,11 @@ Create an executable (YAML file) named `house-price-server.yaml` in your GitHub
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> **IMPORTANT** The structure(schemas) of workflows and executables are different for both training and serving in SAP AI Core. For available options for the schemas you must refer to the [official help guide of SAP AI Core](https://help.sap.com/docs/AI_CORE/2d6c5984063c40a59eda62f4a9135bee/8a1f91a18cf0473e8689789f1636675a.html?locale=en-US)
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```YAML
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apiVersion: ai.sap.com/v1alpha1
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aapiVersion: ai.sap.com/v1alpha1
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kind: ServingTemplate
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metadata:
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name: server-pipeline # executable ID, must be unique across your SAP AI Core instance, for example use `server-pipeline-yourname-1234`
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annotations:
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annotations:
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scenarios.ai.sap.com/description: "Learning to predict house price"
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scenarios.ai.sap.com/name: "House Price (Tutorial)"
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executables.ai.sap.com/description: "Create online server to make live predictions"
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- name: greetmessage # placeholder name
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type: string # required for every parameters
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template:
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apiVersion: "serving.kserve.org/v1beta1"
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apiVersion: "serving.kserve.io/v1beta1"
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metadata:
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annotations: |
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autoscaling.knative.dev/metric: concurrency # condition when to scale

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