Update deploy-models-tsuzumi.md

Author: ssalgadodev

articles/ai-studio/how-to/deploy-models-tsuzumi.md

@@ -216,23 +216,6 @@ response = client.complete(
 
 If you want to pass a parameter that isn't in the list of supported parameters, you can pass it to the underlying model using *extra parameters*. See [Pass extra parameters to the model](#pass-extra-parameters-to-the-model).
 
-#### Create JSON outputs
-
-tsuzumi-7b models can create JSON outputs. Set `response_format` to `json_object` to enable JSON mode and guarantee that the message the model generates is valid JSON. You must also instruct the model to produce JSON yourself via a system or user message. Also, the message content might be partially cut off if `finish_reason="length"`, which indicates that the generation exceeded `max_tokens` or that the conversation exceeded the max context length.
-
-
-```python
-from azure.ai.inference.models import ChatCompletionsResponseFormatJSON
-
-response = client.complete(
-    messages=[
-        SystemMessage(content="You are a helpful assistant that always generate responses in JSON format, using."
-                      " the following format: { ""answer"": ""response"" }."),
-        UserMessage(content="How many languages are in the world?"),
-    ],
-    response_format={ "type": ChatCompletionsResponseFormatJSON() }
-)
-```
 
 ### Pass extra parameters to the model
 
@@ -253,27 +236,6 @@ response = client.complete(
 )
 ```
 
-### Safe mode
-
-tsuzumi-7b models support the parameter `safe_prompt`. You can toggle the safe prompt to prepend your messages with the following system prompt:
-
-> Always assist with care, respect, and truth. Respond with utmost utility yet securely. Avoid harmful, unethical, prejudiced, or negative content. Ensure replies promote fairness and positivity.
-
-The Azure AI Model Inference API allows you to pass this extra parameter as follows:
-
-
-```python
-response = client.complete(
-    messages=[
-        SystemMessage(content="You are a helpful assistant."),
-        UserMessage(content="How many languages are in the world?"),
-    ],
-    model_extras={
-        "safe_mode": True
-    }
-)
-```
-
 ### Apply content safety
 
 The Azure AI model inference API supports [Azure AI content safety](https://aka.ms/azureaicontentsafety). When you use deployments with Azure AI content safety turned on, inputs and outputs pass through an ensemble of classification models aimed at detecting and preventing the output of harmful content. The content filtering system detects and takes action on specific categories of potentially harmful content in both input prompts and output completions.