Update fine-tuning-openai-in-ai-studio.md

Acrolinx fix

Author: Jill Grant

articles/ai-services/openai/includes/fine-tuning-openai-in-ai-studio.md

@@ -94,7 +94,7 @@ In addition to the JSONL format, training and validation data files must be enco
 
 ### Create your training and validation datasets
 
-The more training examples you have, the better. Fine tuning jobs will not proceed without at least 10 training examples, but such a small number are not enough to noticeably influence model responses. It is best practice to provide hundreds, if not thousands, of training examples to be successful.
+The more training examples you have, the better. Fine tuning jobs will not proceed without at least 10 training examples, but such a small number is not enough to noticeably influence model responses. It is best practice to provide hundreds, if not thousands, of training examples to be successful.
 
 In general, doubling the dataset size can lead to a linear increase in model quality. But keep in mind, low quality examples can negatively impact performance. If you train the model on a large amount of internal data, without first pruning the dataset for only the highest quality examples you could end up with a model that performs much worse than expected.