Results for "learning rate"
Learning Rate
IntermediateControls the size of parameter updates; too high diverges, too low trains slowly or gets stuck.
Think of the learning rate as the size of your steps when walking towards a destination. If you take giant steps, you might overshoot and miss your goal, but if you take tiny steps, you might take forever to get there. In machine learning, the learning rate controls how big of a change we make to...
Grouping patients by predicted outcomes.
Predicting disease progression or survival.
Unequal performance across demographic groups.
Differences between training and deployed patient populations.
AI predicting crime patterns (highly controversial).
Models estimating recidivism risk.
Predicting case success probabilities.
Ultra-low-latency algorithmic trading.
Ensuring models comply with lending fairness laws.
Predicting borrower default risk.
AI discovering new compounds/materials.
AI proposing scientific hypotheses.
Agents have opposing objectives.
Fast approximation of costly simulations.
System-level design for general intelligence.
Internal representation of the agent itself.
Tendency to gain control/resources.
Restricting distribution of powerful models.