Results for "system regulation"

AI used in sensitive domains requiring compliance.

Mechanism to disable AI system.

Guaranteed response times.

Maximum system processing rate.

Startup latency for services.

Mathematical framework for controlling dynamic systems.

Predicts next state given current state and action.

Hard constraints preventing unsafe actions.

Deep learning system for protein structure prediction.

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

Inferring the agent’s internal state from noisy sensor data.

A datastore optimized for similarity search over embeddings, enabling semantic retrieval at scale.

Plots true positive rate vs false positive rate across thresholds; summarizes separability.

Model trained to predict human preferences (or utility) for candidate outputs; used in RLHF-style pipelines.

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

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

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

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

Tendency to trust automated suggestions even when incorrect; mitigated by UI design, training, and checks.

Forcing predictable formats for downstream systems; reduces parsing errors and supports validation/guardrails.

Generating speech audio from text, with control over prosody, speaker identity, and style.

Coordination arising without explicit programming.

Probabilistic model for sequential data with latent states.

Maps audio signals to linguistic units.

Models time evolution via hidden states.

Centralized repository for curated features.

Using production outcomes to improve models.

System that independently pursues goals over time.

Agent reasoning about future outcomes.

Increasing model capacity via compute.