pretraining

Pretraining is a concept often used in machine learning and natural language processing. It involves training a model on a large dataset before fine-tuning it on a more specific task, helping the model to learn general features and patterns in the data. This process is beneficial for improving the performance of models on specific tasks such as sentiment analysis, machine translation, or question answering.