typo

dist/index.html

@@ -181,7 +181,7 @@
             <p>Enough said on the leaderboard backend and metrics, now let’s turn to the models and model selection/submission. 
 
     <h2>Focusing on the models most relevant to the community</h2>
-        <h3>Introducing the <em>maintainer’s choice</em></h3>
+        <h3>Introducing the <em>maintainer’s highlight</em></h3>
             <p>Throughout the year, we’ve evaluated more than 7.5K models, and observed that not all of them were used as much by the community.</p>
             <p>The most used ones are usually new base pretrained models, often built by using a lot of compute and which can later be fine-tuned by the community for their own use cases (such as Meta’s Llama3 or Alibaba’s Qwen2). Some high quality chat or instruction models also find a large user community, for instance Cohere’s Command + R, and become also strong starting points for community experiments. ♥️</p>
             <p>However, the story can be different for other models, even when ranking on top of the leaderboard. A number of models are experimental, fascinating and impressive concatenations of more than 20 steps of fine-tuning or merging. </p>

src/index.html

@@ -181,7 +181,7 @@
             <p>Enough said on the leaderboard backend and metrics, now let’s turn to the models and model selection/submission. 
 
     <h2>Focusing on the models most relevant to the community</h2>
-        <h3>Introducing the <em>maintainer’s choice</em></h3>
+        <h3>Introducing the <em>maintainer’s highlight</em></h3>
             <p>Throughout the year, we’ve evaluated more than 7.5K models, and observed that not all of them were used as much by the community.</p>
             <p>The most used ones are usually new base pretrained models, often built by using a lot of compute and which can later be fine-tuned by the community for their own use cases (such as Meta’s Llama3 or Alibaba’s Qwen2). Some high quality chat or instruction models also find a large user community, for instance Cohere’s Command + R, and become also strong starting points for community experiments. ♥️</p>
             <p>However, the story can be different for other models, even when ranking on top of the leaderboard. A number of models are experimental, fascinating and impressive concatenations of more than 20 steps of fine-tuning or merging. </p>