Fine-Tuning

Fine-tuning is the process of further training a pre-trained AI model on a smaller, domain-specific dataset to improve its performance for a particular task or industry. For example, an SEO platform might fine-tune an LLM on thousands of high-ranking blog posts to generate more effective content. This yields more accurate, relevant, and brand-aligned outputs than generic prompting. However, it requires technical expertise, quality training data, and computational resources, making it more common in mature AI products.