Results for "compute-data-performance"

Measures how one probability distribution diverges from another.

Quantifies shared information between random variables.

Adjusting learning rate over training to improve convergence.

Gradually increasing learning rate at training start to avoid divergence.

Tradeoffs between many layers vs many neurons per layer.

Encodes positional information via rotation in embedding space.

Routes inputs to subsets of parameters for scalable capacity.

Extending agents with long-term memory stores.

Multiple agents interacting cooperatively or competitively.

Models evaluating and improving their own outputs.

Framework for identifying, measuring, and mitigating model risks.

Pixel-wise classification of image regions.

Transformer applied to image patches.

Maps audio signals to linguistic units.

System that independently pursues goals over time.

Detects trigger phrases in audio streams.

Number of steps considered in planning.

Average value under a distribution.

Minimum relative to nearby points.

Model exploits poorly specified objectives.

Maximizing reward without fulfilling real goal.

Assigning a role or identity to the model.

Sampling multiple outputs and selecting consensus.

Asking model to review and improve output.

Governance of model changes.

Hardware components that execute physical actions.

Continuous loop adjusting actions based on state feedback.

Mathematical framework for controlling dynamic systems.

Algorithm computing control actions.

Using output to adjust future inputs.