Update offline-model-serving.rst

docs/mlops/admin-guide/offline-model-serving.rst

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 Offline Model Serving
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-Offline model serving can be done in any of the following ways :
+Offline model serving refers to the process of making machine learning models available for inference or prediction without requiring a real-time connection to the model server. In offline model serving, the predictions are generated on a batch of data rather than on individual requests as in real-time serving. Offline models are served in Sparkflows via one of the following approaches :
 
 Using Sparkflows Score Workflow
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