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Fine-Tuner

"Fine-Tuner" typically refers to a software or tool used in machine learning and deep learning to fine-tune pre-trained models. Fine-tuning involves taking a pre-existing model that has been trained on a large dataset and adapting it to a specific task or domain by further training it on a smaller, domain-specific dataset. This process helps improve the model's performance and adapt it to the specific requirements of a particular task. Fine-tuners are commonly used in various fields, including natural language processing, computer vision, and audio processing, among others.

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