Official: 'TianGong GPT' Released!
CN: https://gpt.tiangong.world/
EN: https://gpt.tiangong.world/en
1. About Tiangong GPT
1.1 Tiangong GPT
- It is an intelligent analysis tool for academic papers in the field of environment and sustainable development.
- Developed by Professor Ming Xu's Environmental Data Science and Systems Engineering team at Tsinghua University's School of Environment.
- The tool features a chat-based interface in multiple languages to help improve research and work efficiency.
- It is currently in the Research Preview stage, and can be accessed free of charge without the need for login credentials.
1.2 How to Use the Tool
- Step 1: Select and upload a PDF file.
- Step 2: Wait for the file to be analyzed.
- Step 3: Start chatting!
1.3 Some additional information
- TianGong GPT is specifically trained for scientific research in the field of environment and sustainable development. Please select papers within this field.
- Chatting is based on the selected paper, so conversations should be conducted paper by paper.
- For further information, please refer to the beta test instructions provided on the interface.
2. Prompts: How to Chat with TianGong GPT
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TianGong GPT's prompts support various languages.
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Prompts can also be a mix of multiple languages, and GPT will respond based on the primary language of the question.
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Here are some prompts that you can try out:
- 这篇论文的主要内容是什么
- 主要创新点有哪些
- 详细介绍下研究方法
- 主要的贡献和implications有哪些
- 论文的Discussion有哪些主要观点?
- Summarize the introduction of this paper.
- Provide a literature review of this paper.
- Present the results of the study.
- Conclusions from the paper
- Limitations of this paper
- Future works suggested in this paper
3. Follow-up
3.1 Model Training and Tool Updates
- Efforts will be continuously made to organize data labeling and optimize the GPT model.
- The model and tool will be updated regularly without any noticeable interruptions, ensuring an improved user experience.
3.2 Testing and Feedback
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TianGong GPT is still in the Research Preview beta testing stage and welcomes feedback on any issues.
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In situations where there is a high volume of users and server load, access issues may occur. In such cases, please refresh or reopen the page.
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If a PDF file cannot be read or other abnormalities occur, please:
- Confirm that the PDF file is a text content version, not a scanned image.
- Refresh the page, close and reopen the browser, or clear the browser cache.
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Any issues, screenshots, and problematic PDF files can be reported to [email protected].
4. Exploring More Possibilities
- We support local deployment of TianGong GPT to enhance user experience.
- We welcome collaboration to explore more possible application scenarios for TianGong GPT.