Update how-to-deploy-models-llama.md

Author: ssalgadodev

articles/machine-learning/how-to-deploy-models-llama.md

@@ -23,7 +23,7 @@ ms.collection: ce-skilling-ai-copilot
 In this article, you learn about the Meta Llama models family (LLMs). Meta Llama models and tools are a collection of pretrained and fine-tuned generative AI text and image reasoning models - ranging in scale from SLMs (1B, 3B Base and Instruct models) for on-device and edge inferencing - to mid-size LLMs (7B, 8B and 70B Base and Instruct models) and high performant models like Meta Llama 3.1 405B Instruct for synthetic data generation and distillation use cases.
 
 > [!TIP]
-> See our announcements of Meta's Llama 3.2 family models available now on Azure AI Model Catalog through [Meta's blog](https://aka.ms/llama-3.2-meta-announcement) and [Microsoft Tech Community Blog](https://aka.ms/llama-3.2-microsoft-announcement).
+> See our announcements of Meta's Llama 3.3 family models available now on Azure AI Model Catalog through [Meta's blog](https://aka.ms/llama-3.2-meta-announcement) and [Microsoft Tech Community Blog](https://aka.ms/Metallama70blaunchblog).
 
 See the following GitHub samples to explore integrations with [LangChain](https://aka.ms/meta-llama-3.1-405B-instruct-langchain), [LiteLLM](https://aka.ms/meta-llama-3.1-405B-instruct-litellm), [OpenAI](https://aka.ms/meta-llama-3.1-405B-instruct-openai) and the [Azure API](https://aka.ms/meta-llama-3.1-405B-instruct-webrequests).