I've seen one-shot used to mean two different things in LLMs:
1. Getting an LLM to do something based on a single example
2. Getting an LLM to achieve a goal from a single prompt with no follow-ups
I think both are equally valid.
One-shot as in ‘given one example’ is the ML term. One-shot as in ‘in a single prompt’ is the colloquial meaning. Both are useful, but it can be confusing when discussing LLMs in ML topics.
One-shot as in ‘given one example’ is the ML term. One-shot as in ‘in a single prompt’ is the colloquial meaning. Both are useful, but it can be confusing when discussing LLMs in ML topics.