I think we're still at the stage where model performance largely depends on:
- how many data sources it has access to
- the quality of your prompts
So, if prompting quality decreases, so does model performance.
- how many data sources it has access to
- the quality of your prompts
So, if prompting quality decreases, so does model performance.
- Charles Babbage, https://archive.org/details/passagesfromlife03char/page/67/m...
EDIT: This is a new iteration of an old problem. Even GIGO [1] arguably predates computers and describes a lot of systemic problems. It does seem a lot more difficult to distinguish between a "garbage" or "good" prompt though. Perhaps this problem is just going to keep getting harder.