Fine-tuning AI
Fine-tuning AI is the process of adapting a pre- trained AI model to a specific task or domain by continuing its training on a smaller, targeted dataset. This technique leverages the general knowledge the model has already acquired and customizes it to improve accuracy, relevance, and performance for specialized use cases.
Fine-tuning is commonly used in applications such as customer service bots, medical diagnostics, and legal document analysis— allowing organizations to achieve high-quality results with less data and computational effort.
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