update

Author: mrbullwinkle

articles/ai-services/openai/how-to/batch.md

@@ -34,7 +34,7 @@ Key use cases include:
 * **Marketing and Personalization:** Generate personalized content and recommendations at scale.
 
 > [!TIP]
-> If your batch jobs are so large that you are hitting the enqueued token limit even after maxing out the quota for your deployment, certain regions now support a new feature that allows you to queue multiple batch jobs with exponential backoff. Once one large batch job completes and your enqueued token quota is once again available, the next batch job can be created and kicked off automatically.To lear more, see [**automating retries of large batch jobs with exponential backoff**](../includes/batch/batch-python.md#queueing-batch-jobs).
+> If your batch jobs are so large that you are hitting the enqueued token limit even after maxing out the quota for your deployment, certain regions now support a new feature that allows you to queue multiple batch jobs with exponential backoff. Once one large batch job completes and your enqueued token quota is once again available, the next batch job can be created and kicked off automatically.To lear more, see [**automating retries of large batch jobs with exponential backoff**](#queueing-batch-jobs).
 
 > [!IMPORTANT]
 > We aim to process batch requests within 24 hours; we don't expire the jobs that take longer. You can [cancel](#cancel-batch) the job anytime. When you cancel the job, any remaining work is cancelled and any already completed work is returned. You'll be charged for any completed work.