Reranking

Attention Mechanism

एटेन्सन मेकानिज्म / ध्यान संयन्त्र

A technique that lets a model focus on the most relevant parts of the input.

Feature Selection

फिचर छनोट

Choosing the most relevant input features and discarding the rest to improve a model.

Active Learning

सक्रिय सिकाइ

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

Breadth-First Search

ब्रेथ-फर्स्ट सर्च

A search method that explores all options at one level before going deeper.

Caching

क्यासिङ

Storing frequently used results so they can be returned quickly without recomputing.

Cold Start

कोल्ड स्टार्ट

The delay or difficulty when a system or model runs for the first time after being idle.

Data Leakage

डाटा चुहावट

When information from outside the training set sneaks in, giving misleadingly good results.

Depth-First Search

डेप्थ-फर्स्ट सर्च

A search method that follows one path as far as possible before backtracking.