Zero-Shot, One-Shot, and Few-Shot Prompting
Explore zero-shot, one-shot, and few-shot prompting techniques to understand how providing different amounts of context influences ChatGPT's responses. Learn when to use each method for better accuracy, flexibility, and user experience when interacting with language models.
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N-shot prompting is a technique for guiding the response of a large language model (LLM) by providing it with additional examples.
Zero-shot prompting
This is a technique where the user provides no examples or context to the LLM. This can be useful when the user wants a quick answer without providing additional detail, or when the topic is so general that examples would artificially limit the response.
Let's look at some examples where we use zero-shot prompting:
"Write a poem about love."
"Generate a list of 10 possible names for my new dog."
"Create a marketing campaign for a new product."
One-shot prompting
This is a technique where the user provides a single example or piece of context to the LLM. This can guide the LLM's response and ensure it aligns with the user's intent. ...