Look up any term in AI.

Jailbreak (Red-Teaming)

A jailbreak is an input that steers an AI past its safety training to produce content it was built to refuse. How they work, and how they are defended.

Clustering

Grouping unlabeled data into clusters: which algorithm to pick, why each one imposes a shape, how to choose k, and how to tell if the clusters are real.

Model Routing

Model routing sends each request to the cheapest capable model — a small model handles the easy majority and hard queries escalate to a frontier model.

Diffusion Model

A generative model that learns to undo a fixed noising process — what the network really predicts, why the step count is the cost, and why it displaced GANs.

Image Generation

How AI turns noise into a picture: the diffusion loop, the noise schedule on numbers, why it runs in a 48x-compressed latent space, and what guidance costs.

Diffusion Language Models (DLMs)

Text models that unmask many tokens per pass instead of writing one at a time — what that actually buys in speed, and what it costs in quality.