njuguna036
New member
- Joined
- Nov 26, 2025
- Messages
- 3
Can we design a learning system whose inductive bias dynamically adapts in
response to the latent structure of the dataset, allowing the model to autonomously switch between interpolation, extrapolation,
memorization, and abstraction in real-time during training—
without human intervention or a fixed architecture?
response to the latent structure of the dataset, allowing the model to autonomously switch between interpolation, extrapolation,
memorization, and abstraction in real-time during training—
without human intervention or a fixed architecture?
