AI Training
Fine-tuning
The process of further training an AI model on specific data to improve performance for particular tasks.
Fine-tuning is the process of taking a pre-trained AI model and training it further on domain-specific data. This customization improves the model's performance for particular tasks, industries, or writing styles. For example, fine-tuning GPT on legal documents creates a model better at legal analysis, while fine-tuning on customer support conversations improves response quality. Fine-tuning requires less data and compute than training from scratch while achieving excellent results for specific use cases.