Results for "statistical learning"

System that independently pursues goals over time.

Number of steps considered in planning.

Simple agent responding directly to inputs.

Increasing model capacity via compute.

Cost to run models in production.

Cost of model training.

Competitive advantage from proprietary models/data.

Models whose weights are publicly available.

Models accessible only via service APIs.

Set of vectors closed under addition and scalar multiplication.

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

Measure of vector magnitude; used in regularization and optimization.

Vectors with zero inner product; implies independence.

Number of linearly independent rows or columns.

Sensitivity of a function to input perturbations.

Matrix of first-order derivatives for vector-valued functions.

Direction of steepest ascent of a function.

Matrix of curvature information.

Approximating expectations via random sampling.

Sampling from easier distribution with reweighting.

Minimum relative to nearby points.

Lowest possible loss.

Optimization under equality/inequality constraints.

Converts constrained problem to unconstrained form.

Alternative formulation providing bounds.

Model optimizes objectives misaligned with human values.

Learned subsystem that optimizes its own objective.

Task instruction without examples.

One example included to guide output.

Multiple examples included in prompt.