Merge pull request #282843 from ssalgadodev/patch-135

Update concept-synthetic-data.md

Author: prmerger-automator[bot]

articles/ai-studio/concepts/concept-synthetic-data.md

@@ -15,17 +15,14 @@ ms.custom: references_regions
 
 # Synthetic data generation in Azure AI Studio
 
-In this article
-  - [Synthetic data generation](#synthetic-data-generation)
-  - [Next Steps](#next-steps)
+In Azure AI Studio, you can use synthetic data generation to efficiently produce predictions for your datasets. In this article, you're introduced to the concept of synthetic data generation and how it can be used in machine learning.
 
-In Azure AI Studio, you can leverage synthetic data generation to efficiently produce predictions for your datasets.
 
 ## Synthetic data generation
 
 Synthetic data generation involves creating artificial data that mimics the statistical properties of real-world data. This data is generated using algorithms and machine learning techniques, and it can be used in various ways, such as computer simulations or by modeling real-world events.
 
-In machine learning, synthetic data is particularly valuable for several reasons:
+In machine learning, synthetic data is valuable for several reasons:
 
 **Data Augmentation:** It helps in expanding the size of training datasets, which is crucial for training robust machine learning models. This is especially useful when real-world data is scarce or expensive to obtain.
 
@@ -37,4 +34,4 @@ You can use the sample notebook available at this [link](https://aka.ms/meta-lla
 - [What is Azure AI Studio?](../what-is-ai-studio.md)
 - [Learn more about deploying Meta Llama models](../how-to/deploy-models-llama.md)
 
-- [Azure AI FAQ article](../faq.yml)
+- [Azure AI FAQ article](../faq.yml)