Federated Learning

Distributed Training

वितरित तालिम

Training a model across many machines or chips at once to handle large workloads.

Artificial General Intelligence (AGI)

कृत्रिम सामान्य बुद्धिमत्ता

A hypothetical AI that can understand and perform any intellectual task a human can, across many domains.

Bagging

ब्यागिङ

Training many models on random data subsets and averaging them to reduce variance.

Curse of Dimensionality

आयामको अभिशाप

Problems that arise when data has too many features, making learning harder.

Deep Learning

गहन सिकाइ

Machine learning using neural networks with many layers to learn complex patterns.

Distribution

वितरण

How values in a dataset are arranged across their possible range.

Hyperparameter

हाइपरप्यारामिटर

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

In-Context Learning

इन-कन्टेक्स्ट सिकाइ

A model learning to perform a task purely from examples given in the prompt, without retraining.