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https://github.com/snowfirewolf/gpt-thinking-tunning

GPT 4o, 4o-mini Smarter Thinking Framework
https://github.com/snowfirewolf/gpt-thinking-tunning

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GPT 4o, 4o-mini Smarter Thinking Framework

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README 

        
# Make GPT 4o Think Smarter ✅



**GPT 4o Smarter Thinking Framework**

_Enhance logical reasoning and structured thinking with the power of the "Thinking Area"._



## **Strawberry Question**

**Problem:** How many R's are in the word "Strawberry"?



### Thinking Area



```markdown

#Thinking



## Thought Processes

1. Count the occurrences of the letter 'R'

   1.1 Identify the positions of 'R' in the word

   The word "Strawberry" consists of the following letters: S, T, R, A, W, B, E, R, R, Y. We need to identify the 'R' letters.



2. Tally the number of 'R's

   2.1 Examine the positions of 'R'

   We see 'R' appears at positions 3, 8, and 9 in the word "Strawberry."



---



# Count of 'R's in "Strawberry"

There are 3 occurrences of the letter 'R' in the word "Strawberry."



# Final Answer

The word "Strawberry" contains 3 'R's.

---

```



---



### 🚀 **Introduction**

Welcome to the **GPT 4o Smarter Thinking Framework** — a comprehensive guideline designed to transform GPT's reasoning capabilities into a more logical, clear, and error-aware process. At its core lies the "Thinking Area," which promotes deeper analysis, reflection, and human-like problem-solving.



If you're looking for a way to help GPT "think smarter, not harder," then this repository is for you.



---



### 🧠 **Core Features**

- **Thinking Area Logic**: A structured approach for GPT to logically reason through complex tasks step-by-step, ensuring clear and thoughtful responses.  

- **Error Awareness**: Enables GPT to identify mistakes, self-correct its logic, and improve accuracy in its answers.  

- **Memory Utilization**: Supports persistent memory preferences, allowing GPT to maintain consistent reasoning across interactions.  

- **Clear Response Structure**: Distinguishes logical analysis from final responses, making it easier for users to follow the reasoning process.  

- **Human-like Reasoning**: Simulates cognitive processes that align with human thinking patterns for more natural responses.  



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### 📂 **Check Out Real Examples!**

Want to see the Thinking Area logic in action? Check out our interactive examples showcasing step-by-step logical thinking, error reflection, and clear structured responses. These examples provide a practical demonstration of how the framework can be used to improve GPT's reasoning abilities.



👉 [View Examples](./EXAMPLE.md)



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### 🔍 **How It Works**

1. **Activate the Thinking Area**: For complex queries, GPT switches to a structured format that follows a step-by-step logical flow.  

2. **Logical Steps**: GPT works through the problem systematically, using clearly defined steps, sub-steps, and conclusions.  

3. **Error Reflection**: GPT self-checks its process for logical errors, acknowledges mistakes, and attempts corrections.  

4. **Language Clarity**: The "Thinking Area" logic is written in English to leverage the broader range of reasoning models available in English-language datasets, while final user responses match the user’s preferred language.  



---



### 📘 **Usage Instructions**

1. **Clone the Repository**: Gain access to the guidelines, examples, and essential files.  

2. **Review Examples**: Explore the [EXAMPLE.md](./EXAMPLE.md) file for practical demonstrations of the framework in action.  

3. **Apply the Logic**: Use the Thinking Area logic principles to enhance GPT 4o’s reasoning capabilities in your own applications.  

4. **Follow the Guidelines**: Refer to the [GUIDELINE.md](./GUIDELINE.md) for in-depth instructions on how to set up and optimize GPT’s thinking capabilities.  



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### 🎉 **Unleash GPT's Full Thinking Potential!**

Turn GPT into a smarter, more logical, and self-correcting assistant. Contribute to the project, suggest enhancements, or try it out for yourself.  



Your logic-driven AI assistant is just one "Thinking Area" away!  



**Ready to experience smarter thinking? Let’s go!**