1. trained or prepared in advance, especially (in machine learning) referring to a model that has already been trained on a large dataset before being adapted for a specific task
Usage: commonly used in technology and artificial intelligence contexts; often used in computing and data science

Examples

• The company used a pretrained language model to speed up their natural language processing project.
• Pretrained neural networks can significantly reduce the time needed to develop new AI applications.
• Researchers fine-tuned the pretrained image recognition model for medical diagnosis.
• Using a pretrained model allowed the startup to launch their product faster than building from scratch.
• The pretrained weights from the original model were transferred to the new task.