Representations Glossary
Browse 21 representations terms defined in plain English, from the cultural dictionary of computing.
21 Representations Terms
- Control Vector
- A data or representation concept centered on control vector and how information is prepared or encoded for models. It influences how models are trained,...
- Corpus
- A data or representation concept centered on corpus and how information is prepared or encoded for models. It influences how models are trained, evaluated, or...
- Data Annotation
- A data or representation concept centered on data annotation and how information is prepared or encoded for models. It influences how models are trained,...
- Data Augmentation Detail
- A data or representation concept centered on data augmentation detail and how information is prepared or encoded for models. It influences how models are...
- Data Cleaning ML
- A data or representation concept centered on data cleaning ml and how information is prepared or encoded for models. It influences how models are trained,...
- Data Drift
- A data or representation concept centered on data drift and how information is prepared or encoded for models. It influences how models are trained, evaluated,...
- Data Flywheel
- A data or representation concept centered on data flywheel and how information is prepared or encoded for models. It influences how models are trained,...
- Data Labeling
- A data or representation concept centered on data labeling and how information is prepared or encoded for models. It influences how models are trained,...
- Data Parallelism ML
- A data or representation concept centered on data parallelism ml and how information is prepared or encoded for models. It influences how models are trained,...
- Dataset Bias
- A data or representation concept centered on dataset bias and how information is prepared or encoded for models. It influences how models are trained,...
- Dataset Card
- A data or representation concept centered on dataset card and how information is prepared or encoded for models. It influences how models are trained,...
- Dataset Distillation
- A data or representation concept centered on dataset distillation and how information is prepared or encoded for models. It influences how models are trained,...
- Dataset Versioning
- A data or representation concept centered on dataset versioning and how information is prepared or encoded for models. It influences how models are trained,...
- Face Embedding
- A data or representation concept centered on face embedding and how information is prepared or encoded for models. It influences how models are trained,...
- Internal Representation
- The hidden encoded form in which a model stores and transforms information while processing inputs. Internal representations are a major focus of...
- Labeled Data
- A data or representation concept centered on labeled data and how information is prepared or encoded for models. It influences how models are trained,...
- Label Smoothing
- A data or representation concept centered on label smoothing and how information is prepared or encoded for models. It influences how models are trained,...
- Representation
- The encoded form in which a model captures information about inputs, concepts, or patterns internally. Representations shape what distinctions the model can...
- Steering Vector
- A direction in representation space that can be used to steer model behavior by shifting internal activations toward or away from certain concepts or styles....
- Superposition
- A phenomenon in which multiple concepts or features appear to be represented in overlapping ways within the same model components rather than each having a...
- Token ID
- The numeric identifier assigned to a token in a model's vocabulary. Token IDs are used internally by tokenizers and models to represent text as discrete...