neckprompts
Neckprompts are a type of prompt engineering technique used primarily in the context of large language models. The term "neckprompt" is a portmanteau, combining "neck" and "prompt," suggesting a prompt that is particularly concise or direct, perhaps intended to guide the model efficiently. Unlike verbose or highly descriptive prompts, neckprompts are characterized by their brevity and specificity. They aim to elicit a desired response with minimal input, focusing on the core instruction or question.
The underlying principle of neckprompts is to reduce ambiguity and extraneous information that might distract or
The effectiveness of a neckprompt can depend on the specific model being used, as different models may