Look up any term in AI.

Structured Outputs (Constrained Decoding)

Constrained decoding masks a language model's token distribution against a JSON schema or grammar at each step, so the output is parseable by construction.

Activation Functions

Without a non-linearity, stacked layers collapse into one matrix. How activation functions fix that, and why ReLU, GELU and SwiGLU are the defaults.

Video Generation

Video generation is an AI technology that creates moving images and scenes from text descriptions, images, or other video clips.

Attention Mechanism

Each token emits a query, key and value; dot-product scores scaled by √d become softmax weights over every other token. The cost grows as n².

Classification (CLF)

Accuracy is usually the wrong metric. What a confusion matrix, precision, recall and the decision threshold really tell you about a classifier.

Active Learning

Active learning lets a model choose which unlabelled examples to get labelled next, hitting target accuracy with far fewer labels than random labelling.