message: Update the MOS description
diff: @@ -183,7 +183,7 @@ For example:
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  ### Model Oversubscription ###
  -Model oversubscription gives you the ability to load a subset of an embedding table, which exceeds the single GPU's memory limit, into the GPU in a coarse grained, on-demand manner during the training stage. To use this feature, you need to split your dataset into multiple sub-datasets while extracting the unique key sets from them. This feature can only currently be used with a [`Norm`](./configuration_file_setup.md#norm) dataset format and its corresponding file list. This feature will eventually support all embedding types and dataset formats. We revised our [`criteo2hugectr` tool](../tools/criteo_script/criteo2hugectr.cpp) to support the key set extraction for the Criteo dataset. For additional information, see our [Python Jupyter Notebook](../notebooks/python_interface.ipynb) to learn how to use this feature with the Criteo dataset. Please note that The Criteo dataset is a common use case, but model prefetching is not limited to only this dataset.
  +Model oversubscription gives you the ability to load a subset of an embedding table, which exceeds the device memory capacity of single-GPU or multi-GPU machines, into the GPU(s) in a coarse grained, on-demand manner during the training stage. To use this feature, you need to split your dataset into multiple sub-datasets while extracting the unique key sets from them. This feature can only currently be used with [`Norm`](./configuration_file_setup.md#norm) and [`Raw`](./configuration_file_setup.md#raw) dataset formats. This feature will eventually support all embedding types and dataset formats. We revised our [`criteo2hugectr` tool](../tools/criteo_script/criteo2hugectr.cpp) to support the key set extraction for the Criteo dataset. For additional information, see our [Python Jupyter Notebook](../notebooks/python_interface.ipynb) to learn how to use this feature with the Criteo dataset. Please note that The Criteo dataset is a common use case, but model prefetching is not limited to only this dataset.
  ## Tools ##
  We currently support the following tools:
  