Look up any term in AI.

Foundation Models

Not a marketing word for a big AI model: a foundation model is trained once on broad data and reused as the base for many downstream tasks.

Performance

AI performance is not one number but a frontier of quality, speed, and cost—improving one axis (via quantization or batching) usually trades off another.

Recurrent Neural Network (RNN)

A recurrent neural network reads a sequence one element at a time, carrying a hidden state that summarizes everything seen so far to model order and context.

Reasoning Model

A model trained to think at length before answering. How it differs from a chat model, what the effort dial does, and the tasks where it earns its price.

One-shot Learning

Learning a new class from exactly one example — and the split that matters: one-shot prompting updates no weights; classical one-shot training does.

AI in Finance

Machine learning that approves loans and blocks card fraud — where you ship the most accurate model you can defend, not the best one you can build.