Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
data-preprocessing
pipeline
A sequence of data processing steps for machine learning workflows.
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.
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.
Optimization
Prompt caching
Prompt caching reuses a previously processed prompt prefix so repeated requests with the same context can be faster and cheaper.
Inference
prompt engineering
Prompt engineering is the practice of structuring instructions, context, and formats to get reliable model behavior.
Safety
Prompt injection
Prompt injection is an attack or failure mode where untrusted text tries to override system instructions or steer a model into unsafe behavior.
Machine Learning
pruning
The process of removing unnecessary parameters from a neural network to create a more efficient model.