Update README.md (mlc-ai#1045)

Update README.md

Author: junrushao

README.md

@@ -4,18 +4,18 @@
 
 [Documentation](https://llm.mlc.ai/docs) | [Blog](https://blog.mlc.ai/) | [Discord][discord-url]
 
-Machine Learning Compilation for Large Language Models (MLC LLM) is a high-performance universal deployment solution that allows native deployment of any large language models with native APIs with compiler acceleration. The mission of this project is to enable everyone to develop, optimize and deploy AI models natively on everyone's devices with ML compilation techniques.
+**M**achine **L**earning **C**ompilation for **L**arge **L**anguage **M**odels (MLC LLM) is a high-performance universal deployment solution that allows native deployment of any large language models with native APIs with compiler acceleration. The mission of this project is to enable everyone to develop, optimize and deploy AI models natively on everyone's devices with ML compilation techniques.
 
 **Universal deployment.** MLC LLM supports the following platforms and hardware:
 
 <table style="width:100%">
   <thead>
     <tr>
-      <th style="width:16%"> </th>
-      <th style="width:21%">AMD GPU</th>
-      <th style="width:21%">NVIDIA GPU</th>
-      <th style="width:21%">Apple M1/M2 GPU</th>
-      <th style="width:21%">Intel GPU</th>
+      <th style="width:15%"> </th>
+      <th style="width:20%">AMD GPU</th>
+      <th style="width:20%">NVIDIA GPU</th>
+      <th style="width:20%">Apple GPU</th>
+      <th style="width:24%">Intel GPU</th>
     </tr>
   </thead>
   <tbody>
@@ -28,21 +28,18 @@ Machine Learning Compilation for Large Language Models (MLC LLM) is a high-perfo
     </tr>
     <tr>
       <td>macOS</td>
-      <td>✅ Metal</td>
+      <td>✅ Metal (dGPU)</td>
       <td>N/A</td>
       <td>✅ Metal</td>
-      <td>✅ Metal</td>
+      <td>✅ Metal (iGPU)</td>
     </tr>
     <tr>
       <td>Web Browser</td>
-      <td>✅ WebGPU</td>
-      <td>✅ WebGPU</td>
-      <td>✅ WebGPU</td>
-      <td>✅ WebGPU</td>
+      <td colspan=4>✅ WebGPU and WASM </td>
     </tr>
     <tr>
       <td>iOS / iPadOS</td>
-      <td colspan=4>✅ Metal on Apple M1/M2 GPU</td>
+      <td colspan=4>✅ Metal on Apple A-series GPU</td>
     </tr>
     <tr>
       <td>Android</td>
@@ -69,16 +66,16 @@ Machine Learning Compilation for Large Language Models (MLC LLM) is a high-perfo
 
 Please visit our [documentation](https://llm.mlc.ai/docs/index.html#getting-started) for detailed instructions.
 
-## Prebuilt model support
+## Model Support
 
 MLC LLM supports a wide range of model architectures and variants. We have the following prebuilts which you can
 use off-the-shelf. Visit [Prebuilt Models](https://llm.mlc.ai/docs/prebuilt_models.html) to see the full list, and [Compile Models via MLC](https://llm.mlc.ai/docs/compilation/compile_models.html) to see how to use models not on this list.
 
 <table style="width:100%">
   <thead>
     <tr>
-      <th style="width:40%">Supported Model Architecture</th>
-      <th style="width:60%">Model Variants with Prebuilts</th>
+      <th style="width:40%">Architecture</th>
+      <th style="width:60%">Prebuilt Model Variants</th>
     </tr>
   </thead>
   <tbody>