Results for "controlled updates"

Controlled experiment comparing variants by random assignment to estimate causal effects of changes.

The physical system being controlled.

Learning where data arrives sequentially and the model updates continuously, often under changing distributions.

The relationship between inputs and outputs changes over time, requiring monitoring and model updates.

Iterative method that updates parameters in the direction of negative gradient to minimize loss.

Controls the size of parameter updates; too high diverges, too low trains slowly or gets stuck.

Achieving task performance by providing a small number of examples inside the prompt without weight updates.

Training across many devices/silos without centralizing raw data; aggregates updates, not data.

Restricting updates to safe regions.