Popular Fine-Tuning Articles

Retrieval-Augmented Generation (RAG) and fine-tuning solve different problems in AI applications. RAG supplies external information to a model at inference time, while fine-tuning changes the model itself by training it on additional examples.

AI model training is the process of adjusting a model's parameters using data so that it learns useful patterns and behaviors. Fine-tuning continues that process from an already trained model, adapting it to a more specific task, domain, style, or behavior.