FSL — Few-Shot Learning
Definition: Giving a model a handful of examples in the prompt to teach it a pattern on the fly. Almost always cheaper than fine-tuning for one-off tasks — and the first thing to try before training anything.
Example
Three examples in the prompt got us to 95% extraction accuracy — fine-tuning would have cost a week and added 2 points.
When you'll hear it
FSL shows up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. When someone uses it, they're usually referring to few-shot learning — and they expect the room to already know what that means.
FAQs
What does FSL stand for?
FSL stands for Few-Shot Learning.
What does FSL mean in AI and machine-learning?
Giving a model a handful of examples in the prompt to teach it a pattern on the fly. Almost always cheaper than fine-tuning for one-off tasks — and the first thing to try before training anything.
Where will I hear FSL used at work?
FSL comes up most often in AI strategy reviews, model evaluation discussions, and product roadmap meetings. It's used as shorthand for few-shot learning, so people assume you already know the term.
Related terms
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