How AI Identifies Things It Has NEVER Seen Before! 🤯 скачать в хорошем качестве

How AI Identifies Things It Has NEVER Seen Before! 🤯

In this video, we break down: The 30,000 Object Problem: Why traditional "Supervised Learning" is too slow for the real world. Learning Like a Child: How AI uses descriptions and attributes to make intuitive leaps. The Attribute Method: How combining traits like "stripes," "yellow," and "flying" helps AI identify new species. Advanced AI Tricks: A look at "Embedding-Based Learning" and "Generative Adversarial Nets" (GANs). Why it Matters: How ZSL is making AI more efficient, flexible, and scalable than ever before. [Timestamps] 0:00 - What is Zero-Shot Learning? 0:38 - The 30,000 Object Problem 1:27 - Learning Without Examples 2:10 - Building from Attributes 4:00 - Advanced Methods (Embeddings & GANs) 5:14 - Why Zero-Shot Learning Matters #AI #MachineLearning #ZeroShotLearning #ArtificialIntelligence #FutureTech #DataScience #ExplainableAI #ZSL #FewShotLearning #ai #chatgpt #gemini