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       <h2>✨ Why NTv3?</h2>
       <ul>
         <li>📏 <strong>1 Mb long context at nucleotide resolution</strong> — ~100× longer than typical genomics models.</li>
-        <li>🔗 <strong>Unified architecture</strong> for: masked language modeling, functional-track prediction, genome annotation, and sequence generation.</li>
+        <li>🏗️ <strong>Unified architecture</strong> for: masked language modeling, functional-track prediction, genome annotation, and sequence generation.</li>
         <li>🌍 <strong>Cross-species generalization</strong> across 24 animals + plants with a shared conditioned representation space.</li>
         <li>⚡ <strong>U-Net–style architecture</strong> improves stability and GPU efficiency on very long sequences.</li>
         <li>🎯 <strong>Controllable generative modeling</strong>, enabling targeted enhancer/promoter engineering validated by experimental assays.</li>