OpenAI CLIP Explained - Multi-modal ML

Explore the concept of multi-modal machine learning through an in-depth explanation of OpenAI's Contrastive Learning In Pretraining (CLIP) model. Delve into the importance of combining language and visual inputs in AI development, moving beyond traditional text-only language models. Discover how CLIP bridges the gap between text and image comprehension, enabling connections between different modalities. Learn about the "Experience Grounds Language" framework and the progression towards World Scope 3 in AI development. Gain insights into CLIP's functionality and practical applications, including encoding, classification, and object detection. Visualize concepts through intuitive explanations and code examples, enhancing your understanding of this cutting-edge multi-modal approach to machine learning.

OpenAI CLIP Explained | Multi-modal ML