Supervised Learning

Hyperparameter

हाइपरप्यारामिटर

A configuration value set before training that controls how a model learns, like learning rate.

Semi-Supervised Learning

अर्ध-पर्यवेक्षित सिकाइ

Learning from a small amount of labeled data combined with a large amount of unlabeled data.

Active Learning

सक्रिय सिकाइ

A method where the model selects the most useful examples for humans to label.

Batch Normalization

ब्याच नर्मलाइजेसन

A technique that stabilizes and speeds up training by normalizing layer inputs.

Bias (in AI)

पूर्वाग्रह (एआईमा)

Systematic unfairness in AI outputs, often reflecting biases present in training data.

Data Augmentation

डाटा वृद्धि

Creating new training examples by transforming existing data, e.g. rotating or flipping images.

Federated Learning

फेडरेटेड लर्निङ

Training a shared model across many devices without moving their private data to a server.

Few-Shot Learning

फ्यु-सट सिकाइ

Guiding a model to perform a task by showing it just a few examples in the prompt.