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Glossary

Terms used in accessibility research and practice. Each entry has a definition, common aliases, and category tags.

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Fine-tuning(also: Model Fine-tuning, Fine-tune, Supervised Fine-tuning)
A machine-learning technique that adapts a pre-trained foundation model - typically a large language model or vision model - to a specific task, domain, or individual user by continuing training on a smaller, targeted dataset. Fine-tuning preserves the broad capabilities of the…

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