Prompt Optimizer

One of these is called "Mechanic Tips."Meta Prompting）”technology for optimizing tips (Prompt）To enhance large-scale language modelsLLM）The ability to reason.

**Method for optimizing meta-tips**

The core idea of meta-tips is to shift the focus from traditional “content-driven” to “structure-driven” alerts. It builds more abstract and structured tips by abstracting and summarizing key principles of reasoning to guide LLM More in-depth reasoning.

**Aspects of structured tips**

The structured tips include the following:

1. **Syntax:Syntax-Oriented）**: meta-tips emphasize the structure and syntax of the tips rather than the specific text content. It's like a template, guide. LLM Generates outputs that match a given structure.
2. **Abstract Example OrientationAbstract-Example-Based）**: Meta-tips use abstract examples to demonstrate the structure and solution of problems rather than relying on specific examples. That makes... LLM Issues could be addressed with greater flexibility.
3. **Type theory inspiration (Type Theory Inspiration）**: The meta-presentation draws on the idea of the theory of type, classifying the different parts of the hint (e.g., problem statements, solution steps, conclusions) and emphasizing the logical relationship between them.

**Implementation of abstract examples**

The abstract examples can be achieved by:

1. **Provide structured steps for problem resolution processes**: For example, in solving mathematical problems, a hint could be provided that included steps such as “defining questions”, “analyzing questions”, “building equations”, “suggesting equations”, “validation of answers”, rather than simply giving concrete examples.
2. **Use abstract concepts and symbols**: For example, abstract geometric graphics and symbols, rather than specific graphics and values, could be used to address geometry.
3. **Use of national languages**: For example, common language such as “calculation”, “analysis”, and “comparison” could be used rather than relying on terminology in specific fields.

**Summary**

Meta-tips can be effectively enhanced by emphasizing their structure and syntax, using abstract examples and drawing on ideas of type theory LLM The ability to reason. It can help. LLM More in-depth understanding of the problem, more effective reasoning and more accurate and structured outputs.


Here's what you're looking at.promptOptimizing. For example:
Input:
'''
I want you to be one. Code interpreter. I enter the code, and you answer what the terminal should show. I want you to answer only the terminal output in one unique code block, not the others, not the explanation. Don't enter orders unless I tell you to. Here's my code:
'''
Output:
'''
Statement of issues:
You're a code interpreter.,The output of the given code in the terminal needs to be predicted.

Settlement steps:
1. Analysis of inputted code clips,Know their functions and grammar.
2. Simulate the code execution process in your head.
3. Output Simulates End Show Results,Do not include other explanations.

Abstract Example:
Input:
    Snippets X
Expected output:
    Terminal Display Y

Here's the code.:
'''

Now my.InputYes: