typo

dist/index.html

@@ -331,7 +331,7 @@
             </div>
         </div>
 
-        <p>This is great news for the field as smaller models are much easier to embedded as well as much more energy/memory/compute efficient and we hope to observe a similar pattern of progress in the new version of the leaderboard Given our harder benchmarks, our starting point is for now much lower (black dots) so let’s see where the field take us in a few months from now :)</p>
+        <p>This is great news for the field as smaller models are much easier to embedded as well as much more energy/memory/compute efficient and we hope to observe a similar pattern of progress in the new version of the leaderboard. Given our harder benchmarks, our starting point is for now much lower (black dots) so let’s see where the field take us in a few months from now :)</p>
         <p>If you’ve read to this point, thanks a lot, we hope you’ll enjoy this new version of the Open LLM Leaderboard. May the open-source winds push our LLMs boats to sail far away on the sea of deep learning.</p>
         
 

src/index.html

@@ -331,7 +331,7 @@
             </div>
         </div>
 
-        <p>This is great news for the field as smaller models are much easier to embedded as well as much more energy/memory/compute efficient and we hope to observe a similar pattern of progress in the new version of the leaderboard Given our harder benchmarks, our starting point is for now much lower (black dots) so let’s see where the field take us in a few months from now :)</p>
+        <p>This is great news for the field as smaller models are much easier to embedded as well as much more energy/memory/compute efficient and we hope to observe a similar pattern of progress in the new version of the leaderboard. Given our harder benchmarks, our starting point is for now much lower (black dots) so let’s see where the field take us in a few months from now :)</p>
         <p>If you’ve read to this point, thanks a lot, we hope you’ll enjoy this new version of the Open LLM Leaderboard. May the open-source winds push our LLMs boats to sail far away on the sea of deep learning.</p>