Few-Shot Prompting
A prompt engineering technique in which two to five input-output examples are included in a prompt to help the model quickly align with the expected format and output quality.
Core Facts
The methodological system of prompt engineering includes techniques such as zero-shot prompting, few-shot prompting, Chain-of-Thought prompting, and Tree of Thoughts.
Few-Shot Prompting guides the model to output in a specific format or style by providing a small number of examples in the context, without requiring fine-tuning of the model
Timeline (last 90 days)
Few-shot prompting failed to close the gap in routing accuracy between generative LLMs and the logistic regression baseline.
Few-Shot Prompting guides the model to output in a specific format or style by providing a small number of examples in the context, without requiring fine-tuning of the model
All Facts (3)
The methodological system of prompt engineering includes techniques such as zero-shot prompting, few-shot prompting, Chain-of-Thought prompting, and Tree of Thoughts.
70%VerifiedFew-Shot Prompting guides the model to output in a specific format or style by providing a small number of examples in the context, without requiring fine-tuning of the model
65%UnverifiedFew-shot prompting failed to close the gap in routing accuracy between generative LLMs and the logistic regression baseline.
50%