Results for "compute-data-performance"

Generator produces limited variety of outputs.

Classical statistical time-series model.

Persistent directional movement over time.

Identifying abrupt changes in data generation.

Models effects of interventions (do(X=x)).

Agents communicate via shared state.

Cost to run models in production.

Mathematical foundation for ML involving vector spaces, matrices, and linear transformations.

Decomposes a matrix into orthogonal components; used in embeddings and compression.

Number of linearly independent rows or columns.

Task instruction without examples.

Applying learned patterns incorrectly.

Devices measuring physical quantities (vision, lidar, force, IMU, etc.).

External sensing of surroundings (vision, audio, lidar).

Randomizing simulation parameters to improve real-world transfer.

Differences between simulated and real physics.

RL using learned or known environment models.

Estimating robot position within a map.

AI systems assisting clinicians with diagnosis or treatment decisions.

AI that ranks patients by urgency.

AI-assisted review of legal documents.

Differences between training and deployed patient populations.

AI predicting crime patterns (highly controversial).

Requirement to reveal AI usage in legal decisions.

Identifying suspicious transactions.

AI applied to scientific problems.

AI proposing scientific hypotheses.

A gradient method using random minibatches for efficient training on large datasets.

Attention where queries/keys/values come from the same sequence, enabling token-to-token interactions.

The text (and possibly other modalities) given to an LLM to condition its output behavior.