SHORT | CS224N: Open areas in NLP

<p>The grand finale of CS224N! In this final NotebookLM Video Short, we take a visual look at the &quot;David vs. Goliath&quot; revolution happening in AI reasoning.</p><p><strong>Key Topics:</strong></p><ul><li><p><strong>Smart Scaling vs. Brute-Force:</strong> Why the era of throwing $100M+ at massive pre-training runs is hitting a data wall.</p></li><li><p><strong>ProRL &amp; Entropy Control:</strong> A visual breakdown of how prolonged reinforcement learning lets a 1.5B parameter model out-reason models 4.5$\times$ its size.</p></li><li><p><strong>The Future of Intelligence:</strong> Why AI capability isn&#39;t about how big your parameter count is—it&#39;s about how smartly you spend your compute!</p></li></ul><p><strong>Note:</strong> This is an AI-generated visual discussion created using Google&#39;s NotebookLM, based on publicly available Stanford University course material (specifically CS224N) and personal study notes from my learning journey.</p>