tom

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๐Ÿ“ข HuggingFace Daily Paper Newsletter (Multilingual)
๐ŸŽฏ Project Link: https://github.com/2404589803/hf-daily-paper-newsletter-multilingual
๐ŸŒŸ What is it?
An innovative open-source project that automatically collects the latest AI research papers from HuggingFace and translates them into multiple languages using InternLM-3, making cutting-edge AI research accessible to a global audience!
๐Ÿš€ Key Features:
- ๐Ÿค– Automatic daily paper collection from HuggingFace
- ๐ŸŒ Supports 5 languages:
- ๐Ÿ‡ฏ๐Ÿ‡ต Japanese
- ๐Ÿ‡ฐ๐Ÿ‡ท Korean
- ๐Ÿ‡ช๐Ÿ‡ธ Spanish
- ๐Ÿ‡ซ๐Ÿ‡ท French
- ๐Ÿ‡ฌ๐Ÿ‡ง English (original)
- โšก Powered by InternLM-3 for high-quality translations
- ๐Ÿ”„ Daily automated updates via GitHub Actions
- ๐Ÿ“Š Structured JSON data format
- โฐ Synchronized with Beijing time (UTC+8)
- ๐Ÿ“ Complete activity logging
๐Ÿ› ๏ธ Technical Stack:
- Python
- InternLM-3 API
- GitHub Actions
- requests
- pytz
- openai
- gTTS
๐Ÿ”ง Easy Setup:
1. Clone the repository
2. Install dependencies with pip install -r requirements.txt
3. Set up your InternLM API key
4. Let GitHub Actions handle the rest!
๐Ÿ“‚ Data Organization:
- /Paper_metadata_download: Original English papers
- /Translated_papers:
- /ja: Japanese translations
- /ko: Korean translations
- /es: Spanish translations
- /fr: French translations
๐Ÿค Powered By:
- [InternLM](https://internlm.org/) - Advanced translation model
- [HuggingFace](https://huggingface.co/) - Paper source


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I have an idea that I'm currently working on โ€“ developing a standard API for large models. This standard would ensure compatibility with all known protocols, enabling large models worldwide to be accessed through a unified API. For instance, it could connect models like qwen, deepseek, and GLM from China. However, I haven't found a suitable forum for democratic discussion on this yet. I'm unsure of the next steps. ๐Ÿ˜ฅ๐Ÿ˜ฅ๐Ÿ˜ฅ

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