Alternative Prompt Engineering Approach: Sectioning with Delimeters

Thomas Czerny
4 min readJan 26, 2024

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Enhancing Prompt Clarity: The Power of Using Delimiters

In the realm of communication, clarity is king. Whether you’re scripting a complex AI interaction, drafting coding instructions, or simply organizing your thoughts, the ability to segment and structure your input is crucial. This is where the concept of using delimiters in prompts comes into play, offering a systematic way to enhance understanding and response accuracy. Let’s delve into how this technique can be used, its benefits, and provide some practical examples.

What Are Delimiters in Prompts?

Delimiters are characters or strings used to separate distinct sections within a text prompt. These could be special characters like ||, ###, or — -, depending on the context. In technical environments, such as programming or interacting with advanced AI systems, delimiters act as ‘signposts’, guiding the system in processing different parts of the input.

Usage in Various Contexts

AI and Machine Learning

In AI interactions, especially when dealing with sophisticated language models, delimiters can help in segmenting a prompt into parts — each serving a specific purpose. For instance, one section could be for setting the context, another for a specific question, and a third for any constraints or specific requirements.

Programming and Scripting

Programmers often use delimiters in scripting to separate blocks of code or comments. This practice increases readability and makes debugging easier. In data processing, delimiters like commas or tabs are used to separate values in a file, enabling programs to distinguish between different data elements.

General Writing and Note-Taking

Even in everyday writing or note-taking, using delimiters can help in organizing thoughts. For example, in a project plan, using bullets, numbers, or special symbols to separate tasks, deadlines, and responsibilities can make the information more digestible.

Benefits of Using Delimiters

Improved Clarity: Delimiters break down complex prompts into manageable sections, making them easier to understand and process.

  1. Enhanced Readability: Especially in coding or technical writing, delimiters improve the overall readability, making it easier for others to follow and collaborate.
  2. Error Reduction: In technical fields, this structured approach can significantly reduce errors, as it clearly defines the boundaries of different command or code segments.
  3. Facilitates Automation: In data processing, delimiters are essential for automating tasks such as parsing files or processing input.

Real-World Examples

AI Chatbots: Consider a chatbot designed to book appointments. Using delimiters, a user’s message could be segmented into personal details, preferred dates, and special requests, enabling the bot to process the booking more efficiently.

Data Files: CSV (Comma-Separated Values) files are a prime example where commas are used as delimiters to separate individual data values.

Code Commenting: Programmers often use delimiters like /* */ in languages like Java or C++ to section off comments from the code, making it clear which parts are executable and which are explanatory notes.

Using In Prompt Design

Utilizing delimiters in prompts for Large Language Models (LLMs) like ChatGPT can significantly improve the interaction experience by bringing clarity and structure to complex requests. Here are three examples where delimiters can be especially beneficial:

1. Multi-Part Questions or Requests

Example Prompt:

## Context ##
[Describe the historical background of the French Revolution.]

## Question 1 ##
[What were the main causes of the French Revolution?]

## Question 2 ##
[How did the French Revolution influence the rest of Europe?]

Why Use Delimiters: In this example, the delimiters (##) clearly separate the context section from the two distinct questions. This structure helps the LLM understand that the context provided is relevant to both questions, ensuring a more cohesive and informed response.

2. Code Writing with Specific Requirements

Example Prompt:

|| Task Description ||
[Write a Python function to calculate the factorial of a number.]
|| Constraints ||
[The function should handle invalid inputs gracefully.]
|| Additional Notes ||
[Include comments for clarity.]

Why Use Delimiters: When asking an LLM to write code, delimiters help in segregating the task’s description, any constraints or special requirements, and additional notes or context. This approach ensures that all aspects of the request are addressed in the response, leading to more accurate and tailored code output.

3. Creative Writing with Detailed Instructions

Example Prompt:

--- Story Setup --- 
[In a futuristic world, humans coexist with intelligent robots.]
--- Main Character Description ---
[The protagonist is a young inventor with a quirky personality.]

--- Plot Twist ---
[Include a surprising event where the protagonist discovers a hidden robot civilization.]

Why Use Delimiters: In creative writing tasks, delimiters can be invaluable in organizing different elements of the story, such as the setup, character descriptions, and specific plot points. This structure helps the LLM to maintain focus on each aspect individually, resulting in a more coherent and engaging narrative that aligns closely with the user’s vision.

In all these examples, delimiters serve as organizational tools that aid in parsing the prompt more effectively, ensuring that each section is clearly understood and addressed appropriately by the LLM. This method is particularly useful for complex or multi-faceted requests where clarity and precision are paramount.

Go Try It Yourself

The use of delimiters in prompts is a simple yet powerful tool to enhance clarity and efficiency in communication. Whether in technical fields like programming and AI or in everyday organizational tasks, the strategic use of these markers can greatly improve the way we process and interpret information. As we advance into an increasingly data-driven world, the ability to structure and segment our input becomes not just useful, but essential.

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Thomas Czerny

Product Development Executive | Organic Growth Champion | R&D, Product Management, Cross-Functional Leadership & Organizational Development Expert