Delimited Prompt

Using markers to isolate context segments in prompting is a technique that enhances the clarity and focus of the input provided to a language model. This approach relies on the use of delimiters—such as special characters or phrases—that signal the beginning and end of distinct contextual segments. Mathematically, this can be viewed as a method of segmenting input space to improve the model's attention mechanisms, allowing it to better differentiate between various components of the prompt. This technique is particularly relevant in transformer architectures, where attention weights can be adjusted based on the presence of delimiters, leading to more coherent and contextually relevant outputs. Delimited prompts are a subset of prompt engineering strategies that facilitate structured interactions with language models.