Update concept-model-catalog.md

Author: ssalgadodev

articles/machine-learning/concept-model-catalog.md

@@ -93,7 +93,7 @@ Models available for deployment with managed compute can be deployed to Azure Ma
 
 ### Build Generative AI Apps with managed compute
 
-Prompt flow offers capabilities for prototyping, experimenting, iterating, and deploying your AI applications. You can use models deployed with managed compute in Prompt Flow with the [Open Model LLM tool](./prompt-flow/tools-reference/open-model-llm-tool.md).  You can also use the REST API exposed by the Real-time endpoints in popular LLM tools like LangChain with the [Azure Machine Learning extension](https://python.langchain.com/docs/integrations/chat/azureml_chat_endpoint/).  
+Prompt flow offers capabilities for prototyping, experimenting, iterating, and deploying your AI applications. You can use models deployed with managed compute in Prompt Flow with the [Open Model LLM tool](./prompt-flow/tools-reference/open-model-llm-tool.md).  You can also use the REST API exposed by the managed computes in popular LLM tools like LangChain with the [Azure Machine Learning extension](https://python.langchain.com/docs/integrations/chat/azureml_chat_endpoint/).  
 
 
 ### Content safety for models deployed with managed compute