precision at k, evaluation
Fraction of top K that are relevant.
9,967 technical terms and definitions
Fraction of top K that are relevant.
Fraction of top-K that are relevant.
Tailor treatment to individual patients.
Balance between catching all vs accuracy.
Repeatability of measurements.
Determine required conditions for functions.
Detect impending failures.
Chemical vapor that reacts on surface to form film.
Whether emergent abilities are predictable.
Prediction intervals provide ranges likely containing future observations.
Range containing true value with given probability.
Set of possible predictions with coverage guarantee.
Predictive maintenance uses condition monitoring to anticipate failures enabling proactive intervention.
Maintenance based on condition monitoring.
Use data analytics to predict failures before they occur.
Forecast future metrology results.
Use interruptible cloud instances.
Prefect is modern workflow orchestration. Simpler than Airflow. Python-native.
Preference datasets contain ranked or compared responses for reward model training.
Preference learning trains models from human comparisons of response quality.
Learn what humans prefer from comparisons.
Learn from pairwise preferences.
Prefix caching stores common prompt beginnings for reuse across requests.
Prefix caching stores KV cache for common prefixes. Reuse for same system prompt. Reduces first-token latency.
Bidirectional encoding with autoregressive decoding.
Share common prompt prefixes.
Prefix tuning optimizes task-specific prefixes prepended to input embeddings.
Optimize continuous task-specific vectors prepended to the input instead of full fine-tuning.
Learnable negative slope.
Presence penalty applies fixed reduction to tokens appearing in generation.
Penalize already-generated tokens.
Generate presentations from content. Structure and visuals.
Draft press announcements.
Accelerated moisture test.
Pressure regulators maintain stable delivery pressure for reproducible processes.
Special considerations for pressure sensors.
Pressure sensors monitor system pressures for control and safety.
Understand assumed information.
Self-supervised task for learning representations.
Pretraining on large corpus creates foundation model. Learns language patterns. Base for fine-tuning.
Investment to prevent defects.
Prevent potential problems.
Preventive action eliminates causes of potential nonconformities preventing occurrence.
Proactive improvement.
Plan regular maintenance.
Attend to previous token.
AI pricing models: per token, per request, subscription. Unit economics must work at scale. Pass through costs.
Early training examples have outsized influence.
Overuse of primitives instead of objects.
Principal component analysis reduces dimensionality while retaining variance for monitoring.