fix

Author: santiagxf

articles/ai-foundry/model-inference/includes/use-chat-completions/rest.md

@@ -28,7 +28,7 @@ To use chat completion models in your application, you need:
 
 ## Use chat completions
 
-To use the text embeddings, use the route `/chat/completions` appended to the base URL along with your credential indicated in `api-key`. `Authorization` header is also supported with the format `Bearer <key>`.
+To use chat completions API, use the route `/chat/completions` appended to the base URL along with your credential indicated in `api-key`. `Authorization` header is also supported with the format `Bearer <key>`.
 
 ```http
 POST https://<resource>.services.ai.azure.com/models/chat/completions?api-version=2024-05-01-preview

articles/ai-foundry/model-inference/includes/use-chat-multi-modal/csharp.md

@@ -80,7 +80,7 @@ string dataUrl = $"data:image/{imageFormat};base64,{imageBase64}";
 
 Visualize the image:
 
-:::image type="content" source="../../../../ai-studio/media/how-to/sdks/small-language-models-chart-example.jpg" alt-text="A chart displaying the relative capabilities between large language models and small language models." lightbox="../../../../ai-studio/media/how-to/sdks/small-language-models-chart-example.jpg":::
+:::image type="content" source="../../../../ai-foundry/media/how-to/sdks/small-language-models-chart-example.jpg" alt-text="A chart displaying the relative capabilities between large language models and small language models." lightbox="../../../../ai-foundry/media/how-to/sdks/small-language-models-chart-example.jpg":::
 
 Now, create a chat completion request with the image:
 

articles/ai-foundry/model-inference/includes/use-chat-multi-modal/python.md

@@ -93,7 +93,7 @@ import IPython.display as Disp
 Disp.Image(requests.get(image_url).content)
 ```
 
-:::image type="content" source="../../../../ai-studio/media/how-to/sdks/small-language-models-chart-example.jpg" alt-text="A chart displaying the relative capabilities between large language models and small language models." lightbox="../../../../ai-studio/media/how-to/sdks/small-language-models-chart-example.jpg":::
+:::image type="content" source="../../../../ai-foundry/media/how-to/sdks/small-language-models-chart-example.jpg" alt-text="A chart displaying the relative capabilities between large language models and small language models." lightbox="../../../../ai-foundry/media/how-to/sdks/small-language-models-chart-example.jpg":::
 
 Now, create a chat completion request with the image:
 

articles/ai-foundry/model-inference/includes/use-chat-multi-modal/rest.md

@@ -31,7 +31,7 @@ To use chat completion models in your application, you need:
 
 ## Use chat completions
 
-To use the text embeddings, use the route `/chat/completions` appended to the base URL along with your credential indicated in `api-key`. `Authorization` header is also supported with the format `Bearer <key>`.
+To use chat completions API, use the route `/chat/completions` appended to the base URL along with your credential indicated in `api-key`. `Authorization` header is also supported with the format `Bearer <key>`.
 
 ```http
 POST https://<resource>.services.ai.azure.com/models/chat/completions?api-version=2024-05-01-preview
@@ -57,11 +57,11 @@ Some models can reason across text and images and generate text completions base
 To see this capability, download an image and encode the information as `base64` string. The resulting data should be inside of a [data URL](https://developer.mozilla.org/en-US/docs/Web/HTTP/Basics_of_HTTP/Data_URLs):
 
 > [!TIP]
-> You will need to construct the data URL using a scripting or programming language. This tutorial use [this sample image](../../../../ai-studio/media/how-to/sdks/small-language-models-chart-example.jpg) in JPEG format. A data URL has a format as follows: `data:image/jpg;base64,0xABCDFGHIJKLMNOPQRSTUVWXYZ...`.
+> You will need to construct the data URL using a scripting or programming language. This tutorial use [this sample image](../../../../ai-foundry/media/how-to/sdks/small-language-models-chart-example.jpg) in JPEG format. A data URL has a format as follows: `data:image/jpg;base64,0xABCDFGHIJKLMNOPQRSTUVWXYZ...`.
 
 Visualize the image:
 
-:::image type="content" source="../../../../ai-studio/media/how-to/sdks/small-language-models-chart-example.jpg" alt-text="A chart displaying the relative capabilities between large language models and small language models." lightbox="../../../../ai-studio/media/how-to/sdks/small-language-models-chart-example.jpg":::
+:::image type="content" source="../../../../ai-foundry/media/how-to/sdks/small-language-models-chart-example.jpg" alt-text="A chart displaying the relative capabilities between large language models and small language models." lightbox="../../../../ai-foundry/media/how-to/sdks/small-language-models-chart-example.jpg":::
 
 Now, create a chat completion request with the image:
 
@@ -125,7 +125,9 @@ Images are broken into tokens and submitted to the model for processing. When re
 
 ## Use chat completions with audio
 
-Some models can reason across text and audio inputs. The following example shows how you can send audio context to a chat completions models that also supports audio. Use `InputAudio` to load the content of the audio file into the payload. The content is encoded in `base64` data and sent over the payload.
+Some models can reason across text and audio inputs. The following example shows how you can send audio context to a chat completions models that also supports audio. 
+
+The following example sends audio content encoded in `base64` data in the chat history:
 
 ```json
 {