What is fine-tuning in AI?

What is fine-tuning in AI?

Fine-tuning in AI refers to the process of taking a pre-trained model and training it further on a specific dataset to improve its performance on a particular task.

Why is fine-tuning important?

Fine-tuning is important because it allows models to adapt to specific tasks, improving accuracy and efficiency without starting from scratch.

Can you give me an example of fine-tuning?

Sure! For instance, a language model pre-trained on general text can be fine-tuned on medical literature to better understand and generate medical-related content.

How long does fine-tuning usually take?

The duration of fine-tuning can vary widely depending on the model size, dataset, and computational resources, but it typically takes from a few hours to several days.