fine-tuning
What is fine-tuning?
Fine-tuning is a transfer learning technique in machine learning where a pre-trained model (trained on a large dataset) is further trained on a smaller, task-specific dataset. This allows the model to adapt its pre-existing knowledge to the new task, often resulting in improved performance compared to training a model from scratch. It's commonly used in natural language processing, computer vision, and other areas where large pre-trained models are available.
Which job functions mention fine-tuning?
Which organizations are mentioning fine-tuning?
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