Fine Tuning Insights

Customers are eager for models to learn new facts, but fine tuning primarily enhances output style rather than factual accuracy. It proves beneficial in contexts like medical records, where specific formatting is crucial. For introducing new information, retrieval augmented generation is the recommended approach, while fine tuning excels at adjusting how the model responds.