Fine-tuning is a process in machine learning where a pre-trained model is further trained (or 'tuned') on a new, typically smaller, dataset to specialize its knowledge towards specific tasks or improve its performance on particular types of data.
Fine-tuning is a process in machine learning where a pre-trained model is further trained (or 'tuned') on a new, typically smaller, dataset to specialize its knowledge towards specific tasks or improve its performance on particular types of data.
Understanding LLMs, image generation, prompting and more.
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