Pretrained Model

Pretrained model refers to an artificial intelligence (AI) or machine learning model that has been previously trained on a large, general-purpose dataset and can be reused or fine-tuned for specific tasks. These models have already learned useful patterns and features, reducing the need for extensive training from scratch. Examples include BERT, GPT and ResNet. Pretrained models accelerate development, lower computational costs and improve performance – especially when labeled data is limited. They are widely used in applications such as natural language processing, image recognition and speech analysis, enabling faster and more efficient deployment of AI solutions.