What is a pre-trained model?
A pre-trained model is a machine learning model that has been previously trained on a large dataset and can be fine-tuned for specific tasks.
How does it differ from training a model from scratch?
Training from scratch requires a lot of data and time, while a pre-trained model leverages existing knowledge, making it faster and often more effective.
Can you give me an example of a pre-trained model?
Sure! BERT and GPT are popular examples of pre-trained models used in natural language processing.
What are the benefits of using pre-trained models?
Benefits include reduced training time, improved performance on specific tasks, and the ability to work with limited data.
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