AI / LLM Basics Interview Questions
Define Zero-Shot Learning?
Zero-shot learning is when a model performs a task correctly based purely on an instruction, with no examples of that task provided in the prompt.
- Relies entirely on the model's pretraining and instruction tuning to understand what's being asked
- Works well for common, well-understood tasks, like "summarize this paragraph," that the model has likely seen extensively during training
- Tends to perform less reliably on unusual or highly specific task formats the model hasn't encountered much before
Zero-shot performance is often the first thing tested when evaluating how well a model generalizes, since it reflects genuine understanding rather than pattern-copying from provided examples.
How many task examples are given in zero-shot learning?
What does zero-shot performance often reflect when evaluating a model?
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