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nothun dum

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liked a Space about 16 hours ago

immunobiotech/MICHELIN-Korea

reacted to ginipick's post with 👀 about 17 hours ago

🤖 AI Academic Paper Generator: Your Research Partner 🎓 Hello, researchers! Today I'm introducing my AI Academic Paper Generation System. This application is built with Streamlit and provides AI agents to assist with every stage of the academic research process. https://huggingface.co/spaces/ginipick/AgentX-Papers ✨ Key Features 📚 Literature Research: AI reviews and summarizes relevant research 📝 Paper Outline: Generates a well-structured paper outline ✍️ Draft Writing: Creates a paper draft based on your research topic 🔗 Citation Generation: Automatically generates academic citations 🖋️ Editing & Polishing: Checks grammar, context, and logical flow 🌐 Multilingual Support: Interface available in English and Korean 🚀 How to Use Enter basic information like research topic, paper title, and deadline AI agents generate everything from literature review to final paper Download your completed paper or consult with the chatbot for further assistance 💡 What Makes It Special This tool integrates all stages of academic research. Going beyond simple text generation, it mimics the actual research process to produce higher quality papers. Visualization features and social media sharing options will be added in the next update! 💪 #AIResearch #AcademicWriting #ResearchAssistant #ArtificialIntelligence

reacted to aiqtech's post with 🚀 about 17 hours ago

🌐 AI Token Visualization Tool with Perfect Multilingual Support Hello! Today I'm introducing my Token Visualization Tool with comprehensive multilingual support. This web-based application allows you to see how various Large Language Models (LLMs) tokenize text. https://huggingface.co/spaces/aiqtech/LLM-Token-Visual ✨ Key Features 🤖 Multiple LLM Tokenizers: Support for Llama 4, Mistral, Gemma, Deepseek, QWQ, BERT, and more 🔄 Custom Model Support: Use any tokenizer available on HuggingFace 📊 Detailed Token Statistics: Analyze total tokens, unique tokens, compression ratio, and more 🌈 Visual Token Representation: Each token assigned a unique color for visual distinction 📂 File Analysis Support: Upload and analyze large files 🌏 Powerful Multilingual Support The most significant advantage of this tool is its perfect support for all languages: 📝 Asian languages including Korean, Chinese, and Japanese fully supported 🔤 RTL (right-to-left) languages like Arabic and Hebrew supported 🈺 Special characters and emoji tokenization visualization 🧩 Compare tokenization differences between languages 💬 Mixed multilingual text processing analysis 🚀 How It Works Select your desired tokenizer model (predefined or HuggingFace model ID) Input multilingual text or upload a file for analysis Click 'Analyze Text' to see the tokenized results Visually understand how the model breaks down various languages with color-coded tokens 💡 Benefits of Multilingual Processing Understanding multilingual text tokenization patterns helps you: Optimize prompts that mix multiple languages Compare token efficiency across languages (e.g., English vs. Korean vs. Chinese token usage) Predict token usage for internationalization (i18n) applications Optimize costs for multilingual AI services 🛠️ Technology Stack Backend: Flask (Python) Frontend: HTML, CSS, JavaScript (jQuery) Tokenizers: 🤗 Transformers library

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