Update fine-tuning-direct-preference-optimization.md

Added new models supporting DPO

Author: NandiniMurali

articles/ai-services/openai/how-to/fine-tuning-direct-preference-optimization.md

@@ -51,7 +51,7 @@ Training datasets must be in `jsonl` format:
 
 ## Direct preference optimization model support
 
-- `gpt-4o-2024-08-06` supports direct preference optimization in its respective fine-tuning regions. Latest region availability is updated in the [models page](../concepts/models.md#fine-tuning-models)
+- `gpt-4o-2024-08-06`,`gpt-4.1-2025-04-14`,`gpt-4.1-mini-2025-04-14`  supports direct preference optimization in its respective fine-tuning regions. Latest region availability is updated in the [models page](../concepts/models.md#fine-tuning-models)
 
 Users can use preference fine tuning with base models as well as models that have already been fine-tuned using supervised fine-tuning as long as they are of a supported model/version.
 
@@ -70,4 +70,4 @@ Users can use preference fine tuning with base models as well as models that hav
 
 - Explore the fine-tuning capabilities in the [Azure OpenAI fine-tuning tutorial](../tutorials/fine-tune.md).
 - Review fine-tuning [model regional availability](../concepts/models.md#fine-tuning-models)
-- Learn more about [Azure OpenAI quotas](../quotas-limits.md)
+- Learn more about [Azure OpenAI quotas](../quotas-limits.md)