SHORT VIDEO | CS224N: Multimodality

<p>A bite-sized, visual breakdown of CS224N's guest lecture on Multimodal Deep Learning! In this NotebookLM Video Short, we look at how models fake visual intelligence, and the craziest new frontier in AI.</p><p><strong>Key Topics:</strong></p><ul><li><p><strong>Evaluation Cheats:</strong> A visual look at how models cheat on visual tests (like the "pizza slice" flaw), and why state-of-the-art models completely fail basic compositional logic on the Winoground test (e.g., "mug in grass" vs. "grass in a mug").</p></li><li><p><strong>Olfactory Embeddings:</strong> A quick look at how researchers are analyzing chemical compounds to give AI the sense of smell, creating word vectors for scents that map closely to human intuition.</p></li></ul><p><strong>Note:</strong> This is an AI-generated visual discussion created using Google's NotebookLM, based on publicly available Stanford University course material (specifically CS224N) and personal study notes from my learning journey.</p>