What is fine-tuning, and why is it important for GPT models in niche domains?
Fine-tuning is the process of customizing pre-trained language models, such as GPT models, to specific domains or industries. It allows models to learn domain-specific knowledge and generate contextually appropriate text. Fine-tuning is crucial in niche domains as it enhances the model's understanding, relevance, and accuracy within a specific industry, making it a valuable tool for professionals, researchers, and enthusiasts.