Results for "system dynamics"

Equations governing how system states change over time.

Optimizes future actions using a model of dynamics.

RL without explicit dynamics model.

Learned model of environment dynamics.

Central system to store model versions, metadata, approvals, and deployment state.

A broader capability to infer internal system state from telemetry, crucial for AI services and agents.

System for running consistent evaluations across tasks, versions, prompts, and model settings.

Attacks that manipulate model instructions (especially via retrieved content) to override system goals or exfiltrate data.

System design where humans validate or guide model outputs, especially for high-stakes decisions.

A system that perceives state, selects actions, and pursues goals—often combining LLM reasoning with tools and memory.

Extracting system prompts or hidden instructions.

System that independently pursues goals over time.

Willingness of system to accept correction or shutdown.

Mechanism to disable AI system.

Maximum system processing rate.

The physical system being controlled.

System returns to equilibrium after disturbance.

High-fidelity virtual model of a physical system.

Mathematical guarantees of system behavior.

Deep learning system for protein structure prediction.

System-level behavior arising from interactions.

System-level design for general intelligence.

Motion considering forces and mass.

Modeling interactions with environment.

Motion of solid objects under forces.

Predicts next state given current state and action.

Modeling environment evolution in latent space.

Collective behavior without central control.

A high-priority instruction layer setting overarching behavior constraints for a chat model.

Multiple agents interacting cooperatively or competitively.