Discover few-shot prompting
In prompt engineering, the word “shot” is often used as a synonym for the word “example.” There are different names for prompting techniques based on the number of examples given to the LLM.
Zero-shot prompting is a technique that provides no examples in a prompt
- Because examples aren’t included in zero-shot prompts, the model is expected to perform the task based only on its training data, and the task description included in the prompt.
- Zero-shot prompting is most likely to be effective when you’re seeking simple and direct responses.
- Zero-shot prompting may not be effective for tasks that require the LLM to respond in a more specific, nuanced way
while one-shot prompting provides one example, and few-shot prompting is a technique that provides two or more examples in a prompt
- Few shot prompting can improve in LLMs performance by providing additional context and examples in your prompt.
- These additional examples can help clarify the desired format, phrasing, or general pattern.