What is Few-shot Learning?
Teaching an AI model to perform a task by showing it just a few examples in the prompt.
Why It Matters
Few-shot learning lets you guide AI behaviour without expensive retraining, just by providing examples.
Real-World Example
Showing an AI three examples of how you want emails formatted, then asking it to write a new one in the same style.
“Understanding terms like Few-shot Learning matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Prompt Engineering
The practice of crafting effective instructions for AI models to get the best possible responses.
Zero-shot Learning
An AI model performing a task it was not specifically trained on, without any examples.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Transfer Learning
Using knowledge gained from one task to improve performance on a different but related task.
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Related Terms
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Prompt Engineering
The practice of crafting effective instructions for AI models to get the best possible responses.
Zero-shot Learning
An AI model performing a task it was not specifically trained on, without any examples.
Transfer Learning
Using knowledge gained from one task to improve performance on a different but related task.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...
Attention Mechanism
A technique that lets AI models focus on the most relevant parts of the input when generating output.