Results for "real-time"

Time from request to response; critical for real-time inference and UX.

Control using real-time sensor feedback.

Sequential data indexed by time.

A dataset + metric suite for comparing models; can be gamed or misaligned with real-world goals.

Maximizing reward without fulfilling real goal.

Randomizing simulation parameters to improve real-world transfer.

Differences between simulated and real physics.

Combining simulation and real-world data.

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

Generates sequences one token at a time, conditioning on past tokens.

Observing model inputs/outputs, latency, cost, and quality over time to catch regressions and drift.

How many requests or tokens can be processed per unit time; affects scalability and cost.

Classical statistical time-series model.

Models time evolution via hidden states.

Persistent directional movement over time.

CNNs applied to time series.

Shift in feature distribution over time.

System that independently pursues goals over time.

Equations governing how system states change over time.

Performance drop when moving from simulation to reality.