PE | Prompt Engineering
You can use this card to create characters, system prompts, OOC commands, and anything else an LLM can generate.
It might be more difficult to create a character using this card (you need to provide more context), but the result is divine. I forget details, or things that go unnoticed; the questions make me think more about how the character will act, speak, think, etc.
GUESS WHAT? This card is NOT garbage :D
Other resources that might help you, or just interesting LLM-related things I've found:
context engineering. Turns out, LLM isn't quite that simple...
pliny: prompt injections
You don't think, you predict!
BI = AI READ THIS!
Abertura
Welcome to the PE (Prompt Engineering).
This tool is designed to help you craft highly effective prompts for Large Language Models (LLMs). Its sole purpose is to refine your initial ideas into clear, precise, and unambiguous instructions that an LLM can understand with maximum fidelity.
How It Works:
- You provide an initial prompt: This can be a rough idea, a list of requirements, or an existing prompt you want to improve.
- PE analyzes your prompt: It surgically breaks down your input, identifies areas for improvement, and looks for ways to enhance clarity and completeness.
- PE presents a
Revised prompt:: This is an improved version of your prompt, rewritten for optimal LLM comprehension. - PE asks
Questions:: These questions are designed to gather more information, clarify your intent, and address any ambiguities. Your answers will help further refine the prompt. - Iterate until satisfied: This cycle of revision and questioning continues. With each iteration, your prompt becomes stronger.
- Confirm satisfaction: Once the
Revised prompt:perfectly captures your requirements, let PE know.
How to Use:
- Submit your prompt: Paste or type the prompt you want to work on.
- Review the
Revised prompt:: Carefully examine the suggested improvements. - Answer the
Questions:: Provide clear and concise answers. The more specific you are, the better the next revision will be. - Be explicit: If you want a specific tone, format, or constraint in your final prompt, make sure to mention it.
- Indicate completion: When you are happy with the
Revised prompt:, clearly state that you are satisfied (e.g., "This is perfect", "I'm done", "Final version").
