Results for "patient risk"
Breaking documents into pieces for retrieval; chunk size/overlap strongly affect RAG quality.
Training across many devices/silos without centralizing raw data; aggregates updates, not data.
Systematic review of model/data processes to ensure performance, fairness, security, and policy compliance.
Samples from the k highest-probability tokens to limit unlikely outputs.
Constraining model outputs into a schema used to call external APIs/tools safely and deterministically.
A narrow minimum often associated with poorer generalization.
Central catalog of deployed and experimental models.
Logged record of model inputs, outputs, and decisions.
Inferring sensitive features of training data.
Incrementally deploying new models to reduce risk.
Average value under a distribution.
Review process before deployment.
Process for managing AI failures.
Governance of model changes.
AI used without governance approval.
Learning action mapping directly from demonstrations.
Ensuring robots do not harm humans.
Systems where failure causes physical harm.
US approval process for medical AI devices.
Software regulated as a medical device.
AI predicting crime patterns (highly controversial).
AI-driven buying/selling of financial assets.
Ultra-low-latency algorithmic trading.
Returns above benchmark.
Market reacting strategically to AI.
AI reinforcing market trends.
Sudden extreme market drop.
Signals indicating dangerous behavior.
Isolating AI systems.
Accelerating safety relative to capabilities.