Does every parameter update improve every prediction?
No. Parameters are shared across examples, so an update can improve some predictions while worsening others. Training aims to improve an aggregate objective.
Explore This Question
Search for additional explanations using these tools:
More FAQs in How does adjusting parameters improve an AI model’s predictions?
Gradients describe local behavior around current parameter values. Very large steps can move beyond the region where that information predicts a useful direction.
Yes. Some adaptation methods train selected parameters or add small trainable components. Their usefulness depends on the task and the evaluation results.
Still have questions?
Browse all our FAQs or reach out to our support team