SHORT VIDEO | CS224N: Multimodality
from AI Bites: The Academic Series Hosted by Jack Lakkapragada
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. Key Topics: Evaluation Cheats: 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"). Olfactory Embeddings: 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. Note: 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.
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