# Few-Shot Learning

Skill · Data Science, Analytics and AI/ML

Canonical page: https://career.thegoodapps.co/skills/few-shot-learning

Few-shot learning is a machine learning approach, particularly prominent with large language models, where a model performs a new task after being given only a handful of examples in its input prompt, rather than requiring extensive retraining. It leverages the general knowledge a pretrained model already has, applying it to novel tasks with minimal additional data—contrasted with zero-shot (no examples) and traditional supervised learning (many examples). AI researchers and engineers use it to quickly adapt models like GPT or Claude to specialized tasks without fine-tuning.

Related skills: [Fine-tuning](https://career.thegoodapps.co/skills/fine-tuning), [Prompt Engineering](https://career.thegoodapps.co/skills/prompt-engineering), [Transfer Learning](https://career.thegoodapps.co/skills/transfer-learning)

## Open roles requiring Few-Shot Learning (0)

None of the roles we have read name this skill yet. A large share of the visible corpus has not been parsed for skills, so this is at least as likely to be our backlog as the market's verdict.