Glossary Library

Technical GlossaryGenerative AI and LLM

Catastrophic Forgetting

The problem in which a model loses some of its prior general abilities while being adapted to new tasks.

Catastrophic forgetting can arise when the new task becomes overly dominant during fine-tuning. The model may improve in one domain while weakening its general versatility or prior knowledge structure. This requires careful data balancing, regularization, and evaluation strategies.

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Explore these concepts to continue your artificial intelligence journey.

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Generative AI

A class of AI systems capable of generating new content such as text, images, audio, video, or code.

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Train / Validation / Test Split

A core data splitting approach used to separate model learning, tuning, and final evaluation in an honest way.

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Data Augmentation

An approach that expands the training set by transforming existing data to improve model robustness.