AI

Narrow AI(Weak AI): performs narrow task such as facial recognition or driving a car.
Reactive Machines: Reacts to stimuli, like movements on a chessboard, spam filters or recommendation services.
Limited Memory AI: store knowledge, learn from it and perform new tasks. This is where Generative AI falls.
Theory of Mind AI: having true decision making capabilities similar to humans.
Self-Aware AI: level of consciousness and intelligence similar to humans.

Computer Vision (CV): Classify and generate image data.
Natural Language Processing (NLP): Neural network based algorithms used to classify and generate text data.
Machine Learning: Finds patterns in large amounts of data and perform tasks like prediction, classification, and generation.
- Supervised Learning: Telling program correct output until it learns.
- Unsupervised Learning: gives program lots of data and allows it to make its own connections.
Neural Networks: Information Processing Units serving as foundation for various AI methods.
- Generative Adversarial Networks: 2 neural networks duking it out, with one generating new data and the other judging it until it matches criteria.
- Deep Learning: Machine learning with neural networks. Not shallow but computationally intensive.
- Reinforcement Learning: Calibrating through penalty/reward system.

Published Notes