The Stack
How to — decide if your model needs fine-tuning
When an AI feature misbehaves, "just fine-tune it" is the most popular and most expensive wrong answer. This is the order of operations that tells you whether the weights are actually the problem — before you spend a fraction of your budget finding out. The tell is rarely dramatic. Your support bot starts inventing refund policies it was never given, or a summarizer keeps ignoring the output format your whole product depends on. Someone on the team says the model "just needs training on our dat
