Fine-tuning
Adapting a pre-trained AI model to a specific task or domain by training it on additional specialized data.
AI-generated
Fine-tuning takes a model that has already been pre-trained on general data and trains it further on a smaller, specialized dataset. For example, you might fine-tune a general language model on medical literature to create a medical AI, or on your company's codebase to create a coding assistant that knows your conventions.
Fine-tuning is how general-purpose AI gets adapted for specific use cases. Most commercial AI products are fine-tuned versions of base models. Understanding fine-tuning helps you know when you need a general model versus a specialized one and what is involved in creating custom AI solutions.
OpenAI: Fine-tuning guide - https://platform.openai.com/docs/guides/fine-tuning
Hugging Face: Training and fine-tuning - https://huggingface.co/docs/transformers/training