Fine-tuning

The process of taking a pre-trained AI model and further training it on specific data to improve its performance for particular tasks or domains. Rather than training a model from scratch (which requires enormous resources), fine-tuning starts with a general model and specializes it with targeted examples. It's like taking a medical school graduate and giving them specialized training in surgery - they already have the foundational knowledge, but fine-tuning makes them expert in a specific area. This approach is much more efficient and cost-effective, allowing organizations to create AI systems tailored to their specific needs, whether that's legal document analysis, customer service, or technical writing in their industry's style.