What is Zero-Shot Learning?
Asking an AI to perform a task without any examples — relying on its training alone.
Definition
Zero-shot learning means giving an AI model a task without providing any examples of the desired output. The model relies entirely on its pre-training knowledge to understand and complete the task. This contrasts with few-shot learning (providing examples) and is the default mode when you simply type a request into ChatGPT or Claude.
💡 Example
Asking Claude "Translate this to French: Hello, how are you?" is zero-shot — no examples needed because the model learned translation during pre-training. More complex or unusual tasks often benefit from few-shot prompting instead.
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What is Zero-Shot Learning?
Zero-shot learning means giving an AI model a task without providing any examples of the desired output. The model relies entirely on its pre-training knowledge to understand and complete the task. This contrasts with few-shot learning (providing examples) and is the default mode when you simply type a request into ChatGPT or Claude.
How does Zero-Shot Learning work in practice?
Asking Claude "Translate this to French: Hello, how are you?" is zero-shot — no examples needed because the model learned translation during pre-training. More complex or unusual tasks often benefit from few-shot prompting instead.