{"id":23422949,"url":"https://github.com/snowfirewolf/gpt-thinking-tunning","last_synced_at":"2026-02-04T04:02:04.443Z","repository":{"id":268450075,"uuid":"903331873","full_name":"SnowFireWolf/GPT-thinking-tunning","owner":"SnowFireWolf","description":"GPT 4o, 4o-mini Smarter Thinking Framework","archived":false,"fork":false,"pushed_at":"2024-12-16T20:49:50.000Z","size":7,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-13T00:07:45.126Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SnowFireWolf.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-12-14T10:29:24.000Z","updated_at":"2024-12-16T20:49:53.000Z","dependencies_parsed_at":"2024-12-16T21:33:09.099Z","dependency_job_id":"f1800501-0701-4935-b147-1c827cfb75c3","html_url":"https://github.com/SnowFireWolf/GPT-thinking-tunning","commit_stats":null,"previous_names":["snowfirewolf/gpt-thinking-tunning"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/SnowFireWolf/GPT-thinking-tunning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SnowFireWolf%2FGPT-thinking-tunning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SnowFireWolf%2FGPT-thinking-tunning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SnowFireWolf%2FGPT-thinking-tunning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SnowFireWolf%2FGPT-thinking-tunning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SnowFireWolf","download_url":"https://codeload.github.com/SnowFireWolf/GPT-thinking-tunning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SnowFireWolf%2FGPT-thinking-tunning/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262113491,"owners_count":23261035,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-12-23T03:11:56.585Z","updated_at":"2026-02-04T04:02:04.383Z","avatar_url":"https://github.com/SnowFireWolf.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Make GPT 4o Think Smarter ✅\n\n**GPT 4o Smarter Thinking Framework**\n_Enhance logical reasoning and structured thinking with the power of the \"Thinking Area\"._\n\n## **Strawberry Question**\n**Problem:** How many R's are in the word \"Strawberry\"?\n\n### Thinking Area\n\n```markdown\n#Thinking\n\n## Thought Processes\n1. Count the occurrences of the letter 'R'\n   1.1 Identify the positions of 'R' in the word\n   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.\n\n2. Tally the number of 'R's\n   2.1 Examine the positions of 'R'\n   We see 'R' appears at positions 3, 8, and 9 in the word \"Strawberry.\"\n\n---\n\n# Count of 'R's in \"Strawberry\"\nThere are 3 occurrences of the letter 'R' in the word \"Strawberry.\"\n\n# Final Answer\nThe word \"Strawberry\" contains 3 'R's.\n---\n```\n\n\n---\n\n### 🚀 **Introduction**\nWelcome 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.\n\nIf you're looking for a way to help GPT \"think smarter, not harder,\" then this repository is for you.\n\n---\n\n### 🧠 **Core Features**\n- **Thinking Area Logic**: A structured approach for GPT to logically reason through complex tasks step-by-step, ensuring clear and thoughtful responses.  \n- **Error Awareness**: Enables GPT to identify mistakes, self-correct its logic, and improve accuracy in its answers.  \n- **Memory Utilization**: Supports persistent memory preferences, allowing GPT to maintain consistent reasoning across interactions.  \n- **Clear Response Structure**: Distinguishes logical analysis from final responses, making it easier for users to follow the reasoning process.  \n- **Human-like Reasoning**: Simulates cognitive processes that align with human thinking patterns for more natural responses.  \n\n---\n\n### 📂 **Check Out Real Examples!**\nWant 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.\n\n👉 [View Examples](./EXAMPLE.md)\n\n---\n\n### 🔍 **How It Works**\n1. **Activate the Thinking Area**: For complex queries, GPT switches to a structured format that follows a step-by-step logical flow.  \n2. **Logical Steps**: GPT works through the problem systematically, using clearly defined steps, sub-steps, and conclusions.  \n3. **Error Reflection**: GPT self-checks its process for logical errors, acknowledges mistakes, and attempts corrections.  \n4. **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.  \n\n---\n\n### 📘 **Usage Instructions**\n1. **Clone the Repository**: Gain access to the guidelines, examples, and essential files.  \n2. **Review Examples**: Explore the [EXAMPLE.md](./EXAMPLE.md) file for practical demonstrations of the framework in action.  \n3. **Apply the Logic**: Use the Thinking Area logic principles to enhance GPT 4o’s reasoning capabilities in your own applications.  \n4. **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.  \n\n---\n\n### 🎉 **Unleash GPT's Full Thinking Potential!**\nTurn GPT into a smarter, more logical, and self-correcting assistant. Contribute to the project, suggest enhancements, or try it out for yourself.  \n\nYour logic-driven AI assistant is just one \"Thinking Area\" away!  \n\n**Ready to experience smarter thinking? Let’s go!**\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsnowfirewolf%2Fgpt-thinking-tunning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsnowfirewolf%2Fgpt-thinking-tunning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsnowfirewolf%2Fgpt-thinking-tunning/lists"}