Update README.md

README.md

@@ -73,22 +73,22 @@ pinned: false
       <p>&nbsp;</p>
 	</div>
     <div class="lg:col-span-3">
-      <h1>First Steps</h1>
-      <h3>Intel acceleration libraries</h3>
+      <h1>Get Started</h1>
+      <h3>1. Intel Acceleration Libraries</h3>
 	  <p class="mb-2">
 	    To get started with Intel hardware and software optimizations, download and install the Optimum Intel 
-        and Intel® Extension for Transformers libraries. The source, installation, and usage for each library can be found here:
+        and Intel® Extension for Transformers libraries. Follow these documents to learn how to install and use these libraries:
 	  </p>
 	  <ul>
-	  	<li class="ml-6"><a href="https://github.com/huggingface/optimum-intel" class="underline" data-ga-category="intel-org" data-ga-action="clicked optimum intel" data-ga-label="optimum intel">🤗 Optimum Intel library</a></li>
-	  	<li class="ml-6"><a href="https://github.com/intel/intel-extension-for-transformers" class="underline" data-ga-category="intel-org" data-ga-action="clicked intel extension for transformers" data-ga-label="intel extension for transformers">Intel® Extension for Transformers</a></li>
+	  	<li class="ml-6"><a href="https://github.com/huggingface/optimum-intel#readme" class="underline" data-ga-category="intel-org" data-ga-action="clicked optimum intel" data-ga-label="optimum intel">🤗 Optimum Intel library</a></li>
+	  	<li class="ml-6"><a href="https://github.com/intel/intel-extension-for-transformers#readme" class="underline" data-ga-category="intel-org" data-ga-action="clicked intel extension for transformers" data-ga-label="intel extension for transformers">Intel® Extension for Transformers</a></li>
 	  </ul>
       <p class="mb-2">
         The Optimum Intel library provides primarily hardware acceleration, while the Intel® Extension 
         for Transformers is focused more on software accleration. Both should be present to achieve ideal
         performance and productivity gains in transfer learning and fine-tuning with Hugging Face.
       </p>
-      <h3>Find your model</h3>
+      <h3>2. Find Your Model</h3>
       <p class="mb-2">
         Next, find your desired model (and dataset) by using the search box at the top-left of Hugging Face’s website. 
         Add “intel” to your search to narrow your search to models pretrained by Intel.
@@ -98,7 +98,7 @@ pinned: false
         src="https://huggingface.co/spaces/Intel/README/resolve/main/hf-model_search.png"
         style="margin:auto;transform:scale(0.8);"
       />
-      <h3>Demo, dataset, and quick-start commands</h3>
+      <h3>3. Read Through the Demo, Dataset, and Quick-Start Commands</h3>
       <p class="mb-2">
         On the model’s page (called a “Model Card”) you will find description and usage information, an embedded 
         inferencing demo, and the associated dataset. In the upper-right of your screen, click “Use in Transformers” 
@@ -115,4 +115,4 @@ pinned: false
         style="margin:auto;transform:scale(0.8);"
       />
 	</div>
-</div>
+</div>