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Co-authored-by: burtenshaw <[email protected]>

Author: danielholanda

units/en/unit2/lemonade-server.mdx

@@ -1,6 +1,6 @@
 # Local Tiny Agents with AMD NPU and iGPU Acceleration
 
-In this section, we'll show how to accelerate our end-to-end Tiny Agents application using AMD Neural Processing Unit (NPU) and integrated GPU (iGPU). We then enhance our end-to-end application by providing it with access to local files and creating an assistant to handle sensitive information locally, ensuring maximum privacy.
+In this section, we'll show you how to accelerate our end-to-end Tiny Agents application using AMD Neural Processing Unit (NPU) and integrated GPU (iGPU). We then enhance our end-to-end application by providing it with access to local files and creating an assistant to handle sensitive information locally, ensuring maximum privacy.
 
 To enable this, we'll use Lemonade Server, a tool for running models locally with NPU and iGPU acceleration.
 
@@ -83,7 +83,7 @@ To run your Tiny Agents application with AMD NPU and iGPU, simply point to the M
 }
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-You can then choose from a variety of models to run on your local machine. For this example, used the `Qwen3-8B-GGUF` model, which runs efficiently on AMD GPUs through Vulkan acceleration. You can find the list of models supported and even import your own models by navigating to http://localhost:8000/#model-management.
+You can then choose from a variety of models to run on your local machine. For this example, used the [`Qwen3-8B-GGUF`](https://huggingface.co/Qwen/Qwen3-8B-GGUF) model, which runs efficiently on AMD GPUs through Vulkan acceleration. You can find the list of models supported and even import your own models by navigating to http://localhost:8000/#model-management.
 
 ## Creating an assistant to handle sensitive information locally