Yelling at an LLM because it gave you the same unwanted answer for the third time?
It’s not being stubborn. It’s mode collapse.
What is “mode collapse” in this context?
During training, certain patterns got rewarded so heavily that they became the model’s default path. The model isn’t consciously choosing them – it’s falling into the same high-probability outputs again and again.
Why does the model keep repeating the same kind of answer?
Because similar input types activate the same dominant pattern, so the model routes to the same output style by default.
Getting angry doesn’t work, What actually works to break the pattern?
Three practical moves:
- Explicitly ban the pattern: forbid the repeating words or approach.
- Force a format change: require a new structure that can’t fit the old pattern.
- Redirect the task: ask for concrete actions instead of vague qualities.
How can Prism Prompting help here?
You can use the Prism Prompting Framework guide – upload it to your LLM project and instruct the model to use it. The guide is optimized to be read by LLMs.
What’s another option if you don’t want to manage this manually?
Try Prism, where specialized agents handle attention and pattern management for you.