Adaptive
term_id: adaptive
Category: basic_concepts
Definition
In AI, ‘adaptive’ describes systems or algorithms that can adjust their internal states, parameters, or strategies dynamically based on new data or environmental feedback. This capability allows models to maintain performance in non-stationary environments, improve over time through learning, and personalize outputs for individual users without explicit retraining from scratch.
Summary
The ability of a system to modify its behavior or parameters in response to changing conditions.
Key Concepts
- Dynamic Adjustment
- Online Learning
- Feedback Loop
- Personalization
Use Cases
- Recommendation Systems
- Adaptive Control Systems
- Real-time Anomaly Detection