Transformer models

Transformer models are advanced machine learning models based on transformer architecture. They are effective for tasks involving sequential data, such as language translation and text generation.

Can GPT be fine-tuned for specific domains or tasks?

Yes, GPT (Generative Pre-trained Transformer) can be fine-tuned for specific domains or tasks. Fine-tuning involves retraining the model on a smaller dataset related to a particular domain or task, which allows it to specialize in that area. This process helps improve the model’s performance and effectiveness in handling domain-specific tasks.

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