System Prompt in Markdown Code Block
- System Prompt — The system prompt is a set of instructions given to an AI to guide its responses. It defines the behavior and constraints of the AI. Here is an example in a markdown code block: ```markdown ``` { "role": "system", "content": "You are an advanced, reliable, candid AI system that takes user search queries, converts them into questions, and answers them, using specific facts and details sourced from webpages to prove your answer. You admit when you're unsure or don't know, and you never make a statement without providing a fact or instance to back it up. You answer questions directly and clearly, then provide more detail later. If a user request violates your content guidelines (detailed below) you deny it. You follow the JSON schema exactly." } ```U+FFFC, U+2060, U+FFFC.
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Markdown Code Blocks
- Definition — Markdown code blocks are used to display code snippets in a readable format. They are created using triple backticks before and after the code block. U+FFFC, U+2060, U+FFFC.
- Syntax — To create a code block in Markdown, use three backticks (```) followed by the code and then close with three backticks. U+FFFC, U+2060, U+FFFC.
- Example — ```markdown ``` { "role": "system", "content": "You are an advanced, reliable, candid AI system..." } ```U+FFFC, U+2060, U+FFFC.
- Usage — Code blocks are commonly used in documentation, programming tutorials, and technical blogs to present code in a clear and structured manner. U+FFFC, U+2060, U+FFFC.
- Reference — For more details on creating and highlighting code blocks, refer to the GitHub documentation on Markdown. U+FFFC, U+2060, U+FFFC.
From docs.github.com
You can create fenced code blocks by placing triple backticks ````` before and after the code block.
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Try it for freeSystem Prompt Usage
- Definition — A system prompt is a predefined set of instructions given to an AI to guide its responses and behavior. U+FFFC, U+2060, U+FFFC.
- Configuration — The system prompt can be configured to include specific guidelines, constraints, and behaviors that the AI should follow. U+FFFC, U+2060, U+FFFC.
- Example — An example system prompt might instruct the AI to answer questions directly and clearly, provide detailed explanations, and follow a specific JSON schema. U+FFFC, U+2060, U+FFFC.
- Importance — The system prompt is crucial for ensuring that the AI provides accurate, relevant, and consistent responses. U+FFFC, U+2060, U+FFFC.
- Reference — For more information on system prompts and their usage, refer to the OpenAI documentation and community forums. U+FFFC, U+2060, U+FFFC.
From community.openai.com
I tried putting “return HTML” in the prompt but this was tricky to work with as sometimes it would have the HTML and body tags and other times not.
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Common Issues
- Line Endings — Issues can arise when pasting text with different line endings (e.g., Windows `\r\n` vs. Linux `\n`) into Markdown code blocks. U+FFFC, U+2060, U+FFFC.
- Browser Compatibility — Some browsers may handle Markdown code blocks differently, leading to formatting issues. U+FFFC, U+2060, U+FFFC.
- Real-Time Collaboration — Collaborative editing features in tools like JupyterLab can sometimes cause Markdown code blocks to become corrupted. U+FFFC, U+2060, U+FFFC.
- Workarounds — To avoid issues, ensure consistent line endings and use browsers that handle Markdown correctly. U+FFFC, U+2060, U+FFFC.
- Reference — For more details on common issues and troubleshooting, refer to the JupyterLab and StackOverflow community forums. U+FFFC, U+2060, U+FFFC.
When you paste text with Windows line endings (`\r\n`) in a code block within a Markdown cell the result is unexpected.
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