Delimiters in Prompt Engineering
Blog post from Portkey
Prompt engineering involves the strategic use of delimiters, which are boundary markers that separate different sections of a prompt to improve clarity and performance when interacting with language models. These delimiters help large language models accurately parse and interpret structured input by maintaining clear context separation and reducing ambiguity. Various delimiters serve distinct purposes: quotes delineate specific text inputs, triple backticks signal code blocks, pipes structure data input, XML/JSON tags provide semantic structure, and special markers create visual section breaks. Consistently applied, they enhance output consistency and model performance, particularly in complex prompts. The use of delimiters is crucial in providing structured input, managing multi-part conversations, formatting data, and generating code, ultimately leading to more productive and predictable interactions with AI systems.
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