Machine Learning
This type of learning uses labeled datasets to train algorithms to classify data or predict outcomes.
Supervised learning
This type of AI model is trained on large amounts of text and can generate human-like responses.
Large Language Model
This subfield of CS focuses on making machines simulate human intelligence
Artificial Intelligence
This learning method uses unlabeled data to find hidden patterns or intrinsic structures.
Unsupervised learning
This chatbot was released publicly in 2022 and triggered widespread AI adoption.
ChatGPT
A step-by-step procedure for solving a problem.
Algorithm
This term describes when a model performs well on training data but fails to generalize to new data.
Overfit
This term describes the technique of identifying the emotional tone of text.
This 1950 test evaluates a machine's ability to exhibit intelligent behavior indistinguishable from a human.
Turing Test
Term describing when AI models output false or inaccurate information
Hallucination
Computer system that won Jeopardy 2011
IBM Watson
Data used to train and evaluate models are typically split into these two sets
Train and test sets
This type of workflow integrates humans alongside AI to evaluate or correct outputs and improve accuracy.
Human in the Loop
This 2017 paper introduced the Transformer architecture
Attention is All You Need
This type of learning improves AI models by rewarding desired behavior and penalizing unwanted behavior
Reinforcement Learning