What is Fine-Tuning?

 Fine-tuning refers to additional training on an already pre-trained model where its weights are updated to improve performance on specific datasets or objectives beyond what it originally handled. Here, pre-trained means that the model foundation has already learnt generalized patterns on vast volumes of unlabeled multi-domain data during its initial development.

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