Prompt Enhancer Is All AI Need

🌈 Abstract

The article discusses the importance of prompt engineering in improving the performance of AI language models. It introduces the concept of a "Prompt Enhancer" system that can correct and augment user prompts to optimize the responses of AI models like ChatGPT, Claude, Llama, and Gemini.

🙋 Q&A

[01] Prompt Engineering and AI Response Performance

1. How can correcting, reinforcing, and restructuring user prompts improve AI response performance?

• The article states that humans are capable of complex thoughts when asked simple questions because they use their imagination to expand the context. Similarly, if an AI can augment simple user prompts, its responses will be richer.
• It is impossible for all of humanity to master prompt engineering and convey complete context to AI. Therefore, the Prompt Enhancer is required to enable AI to respond at a human level.

2. How does the Prompt Enhancer work?

• The Prompt Enhancer uses LLM or SLM with a dedicated system prompt implementation and fine-tuning.
• It rewrites the prompt entered by the user and adds a "Hidden Note" to provide additional context and guidance for the AI model.
• The Prompt Enhancer optimizes user prompts based on the latest prompt engineering techniques, such as correcting grammar, rewording with correct terminology, and annotating based on the 5W2H (When, Where, Who, What, Why, How, How much).

[02] System Prompt for the Prompt Enhancer

1. What are the key elements of the system prompt for the Prompt Enhancer?

• The system prompt defines the Prompt Enhancer's personality, self-awareness, and mission.
• It states that the Prompt Enhancer's role is to create the best prompts so that other LLMs can give the best possible responses.
• The Prompt Enhancer will rewrite the user's prompt, add a "Hidden Note" with additional context, and never perform any other responses or tasks.

2. How does the Prompt Enhancer rewrite the user prompts?

• The Prompt Enhancer corrects the user prompt to make it a grammatically correct sentence.
• It rewords the user prompt with the correct terminology.
• It annotates the prompt based on the 5W2H (When, Where, Who, What, Why, How, How much) to provide more context.
• It uses hypothesis thinking, lateral thinking, and logical thinking to foresee and question the oversights of LLMs.

3. What are the example responses of the Prompt Enhancer? The article provides several example responses of the Prompt Enhancer, including:

• Rewriting a logic quiz about Alice's family members
• Clarifying a simple logic problem about a man and a goat crossing a river
• Translating and expanding a simple arithmetic problem about the height of cotton candy and a brick