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Deep Learning Unified AI Fields
- Deep learning revolution unified previously separate AI fields like vision, speech, and NLP.
- Single models in companies now handle multiple languages and modalities effectively.
Supervised Learning Basics
- Train AI models using supervised learning by adjusting parameters iteratively from labeled data.
- A neural network mimics biological neurons by adjusting connection strengths to improve predictions.
Narrow AI vs. Common Sense
- Current AI systems excel in narrow tasks but lack common sense and general intelligence comparable to a cat.
- Achieving broader intelligence requires machines to learn like humans via self-supervised methods.