AI Glossary · Data & Platform
LoRA / QLoRA
Parameter-efficient fine-tuning techniques that adapt a base model by training small low-rank matrices — cheaper and faster than full fine-tunes.
Related terms in Data & Platform
- AUC (Area Under Curve)
- A single-number summary of a classifier's ability to separate classes across all thresholds; useful for imbalanced problems like fraud or churn.
- Bring Your Own Model (BYOM)
- A platform pattern that lets enterprises deploy fine-tuned or proprietary models inside a vendor's runtime instead of using only the vendor's default model.
- Data Fabric
- An architecture that unifies distributed data via metadata, semantic models and active governance — the layer AI depends on to reason across silos.
- Data Lakehouse
- A unified store combining lake economics with warehouse governance (Databricks, Snowflake, Iceberg). The default AI training and analytics substrate.
- Embedding
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- Feature Store
- A managed catalog of reusable ML features with online and offline serving — key to consistent training and inference.