Technical
Self‑improving AI models
Models that iteratively learn and update from new data and feedback.
Definition
AI models that incorporate iterative learning and model update processes informed by newly ingested data and scientific feedback, enabling periodic retraining, validation, and refinement of model parameters and behavior to improve scientific performance over time.
Related Terms
Self-improving AI models
Models that iteratively update using new data and feedback....
AI systems
Systems using automated models to make/assist decisions or generate content....
Foundation Models
Large-scale models trained on broad data for many tasks....
learning systems
Computational systems using data and algorithms to adapt behaviour over time....
Model Drift
Degradation or change in model performance over time....