用語辞典

Modality in AI refers to a specific type of data or input, such as text, images, audio, or video, that a model can process or learn from.

Multimodal learning is an AI approach that combines information from multiple data types like text, images, audio, or video—to improve understanding and decision-making.

Tokenization is the process of breaking text into smaller units (tokens) that a language model can understand and process.

Continual learning is the ability of an AI model to keep learning from new data over time without forgetting what it already knows.