Clearly too tired to do this well... fixed links in all pivots.

Author: DenKenMSFT

articles/cognitive-services/openai/includes/fine-tuning-python.md

@@ -109,7 +109,7 @@ The next step is to either choose existing prepared training data or upload new
 - [From a local file](../reference.md#upload-a-file)
 - [Import from an Azure Blob store or other web location](../reference.md#import-a-file-from-azure-blob)
 
-For large data files, we recommend you import from an Azure Blob store. Large files can become unstable when uploaded through multipart forms because the requests are atomic and can't be retried or resumed. For more information about Azure Blob storage, see [What is Azure Blob storage?](/storage/blobs/storage-blobs-overview.md)
+For large data files, we recommend you import from an Azure Blob store. Large files can become unstable when uploaded through multipart forms because the requests are atomic and can't be retried or resumed. For more information about Azure Blob storage, see [What is Azure Blob storage?](/azure/storage/blobs/storage-blobs-overview)
 
 > [!NOTE]
 > Training data files must be formatted as JSONL files, encoded in UTF-8 with a byte-order mark (BOM), and less than 200 MB in size.

articles/cognitive-services/openai/includes/fine-tuning-rest.md

@@ -107,7 +107,7 @@ The next step is to either choose existing prepared training data or upload new
 - [From a local file](../reference.md#upload-a-file)
 - [Import from an Azure Blob store or other web location](../reference.md#import-a-file-from-azure-blob)
 
-For large data files, we recommend you import from an Azure Blob store. Large files can become unstable when uploaded through multipart forms because the requests are atomic and can't be retried or resumed. For more information about Azure Blob storage, see [What is Azure Blob storage?](/storage/blobs/storage-blobs-overview.md)
+For large data files, we recommend you import from an Azure Blob store. Large files can become unstable when uploaded through multipart forms because the requests are atomic and can't be retried or resumed. For more information about Azure Blob storage, see [What is Azure Blob storage?](/azure/storage/blobs/storage-blobs-overview)
 
 > [!NOTE]
 > Training data files must be formatted as JSONL files, encoded in UTF-8 with a byte-order mark (BOM), and less than 200 MB in size.

articles/cognitive-services/openai/includes/fine-tuning-studio.md

@@ -136,7 +136,7 @@ The next step is to either choose existing prepared training data or upload new
 
 If your training data has already been uploaded to the service, select **Choose dataset**, and then select the file from the list shown in the **Training data** pane. Otherwise, select either **Local file** to [upload training data from a local file](#to-upload-training-data-from-a-local-file), or **Azure blob or other shared web locations** to [import training data from Azure Blob or another shared web location](#to-import-training-data-from-an-azure-blob-store).
 
-For large data files, we recommend you import from an Azure Blob store. Large files can become unstable when uploaded through multipart forms because the requests are atomic and can't be retried or resumed. For more information about Azure Blob storage, see [What is Azure Blob storage?](/storage/blobs/storage-blobs-overview.md)
+For large data files, we recommend you import from an Azure Blob store. Large files can become unstable when uploaded through multipart forms because the requests are atomic and can't be retried or resumed. For more information about Azure Blob storage, see [What is Azure Blob storage?](/azure/storage/blobs/storage-blobs-overview)
 
 > [!NOTE]
 > Training data files must be formatted as JSONL files, encoded in UTF-8 with a byte-order mark (BOM), and less than 200 MB in size.