Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Product
pgvector
pgvector is a core generative-AI concept used across modeling, product, and governance discussions.
Training
PII detection
PII detection is a core generative-AI concept used across modeling, product, and governance discussions.
data-preprocessing
pipeline
A sequence of data processing steps for machine learning workflows.
Inference
positional encoding
positional encoding is a core generative-AI concept used across modeling, product, and governance discussions.
Inference
PPO
PPO is a core generative-AI concept used across modeling, product, and governance discussions.
evaluation
precision-recall-curve
A graphical representation of a model's trade-off between precision and recall.
Data Analysis
predictive-analytics
The use of statistical techniques to forecast future events based on historical data.
Safety
preference optimization
preference optimization is a core generative-AI concept used across modeling, product, and governance discussions.
Data Science
Principal Component Analysis (PCA)
A dimensionality reduction technique used to simplify datasets while preserving variance.
data-analysis
principal-component-analysis
A dimensionality reduction technique that transforms data into a set of orthogonal components.
Data
privacy redaction
privacy redaction is a core generative-AI concept used across modeling, product, and governance discussions.
Inference
prompt engineering
Prompt engineering is the practice of structuring instructions, context, and formats to get reliable model behavior.
Machine Learning
pruning
The process of removing unnecessary parameters from a neural network to create a more efficient model.