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Knowledge Cards / Large Language Models / Finetuning

Large Language Models

Finetuning

Fine-tuning is a process where a pre-trained machine learning model is further trained on a specific dataset to specialize its knowledge or skills for a particular task or domain. This improves the model's performance on the related task while being more cost-efficient than training it from scratch.