Hugging Face's logo
AIQ's picture
4 4 330

AIQ PRO

aiqtech
baekyuri's profile picture gtffm's profile picture ibbra's profile picture
·

AI & ML interests

None yet

Recent Activity

replied to their post about 13 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
reacted to openfree's post with 🧠 1 day ago
📊 Papers Impact: Instant AI Grading for Your Research Papers! 🚀 🌟 Introduction Hello, AI research community! 🎉 Introducing Papers Impact - the revolutionary AI tool that automatically grades and predicts the potential impact of research papers! 🧠💡 https://huggingface.co/spaces/VIDraft/PapersImpact ✨ Key Feature: Instant Paper Grading The core functionality is brilliantly simple: Just enter an arXiv paper ID or URL, and our AI instantly analyzes and grades the paper's potential academic impact! No need to read through the entire paper yourself - our system automatically evaluates the title and abstract to generate a normalized impact score between 0 and 1. 🎯 How It Works Enter Paper ID or URL: Simply paste an arXiv ID (e.g., "2504.11651") or full URL Automatic Fetching: The system retrieves the paper's title and abstract AI Analysis: Our advanced LLaMA-based transformer model analyzes the content Instant Grading: Receive an impact score and corresponding letter grade in seconds! 💡 Who Can Benefit? 🔬 Researchers: Pre-assess your paper before submission 📚 Students: Quickly gauge the quality of papers for literature reviews 🏫 Educators: Objectively evaluate student research 📊 Research Managers: Prioritize which papers to read in depth 🧩 Journal Editors: Get an AI second opinion on submissions 🚀 Technical Details Our model is trained on an extensive dataset of published papers in CS.CV, CS.CL, and CS.AI fields, using NDCG optimization with Sigmoid activation and MSE loss. It's been rigorously cross-validated against historical citation data to ensure accurate impact predictions.
reacted to openfree's post with ➕ 1 day ago
📊 Papers Impact: Instant AI Grading for Your Research Papers! 🚀 🌟 Introduction Hello, AI research community! 🎉 Introducing Papers Impact - the revolutionary AI tool that automatically grades and predicts the potential impact of research papers! 🧠💡 https://huggingface.co/spaces/VIDraft/PapersImpact ✨ Key Feature: Instant Paper Grading The core functionality is brilliantly simple: Just enter an arXiv paper ID or URL, and our AI instantly analyzes and grades the paper's potential academic impact! No need to read through the entire paper yourself - our system automatically evaluates the title and abstract to generate a normalized impact score between 0 and 1. 🎯 How It Works Enter Paper ID or URL: Simply paste an arXiv ID (e.g., "2504.11651") or full URL Automatic Fetching: The system retrieves the paper's title and abstract AI Analysis: Our advanced LLaMA-based transformer model analyzes the content Instant Grading: Receive an impact score and corresponding letter grade in seconds! 💡 Who Can Benefit? 🔬 Researchers: Pre-assess your paper before submission 📚 Students: Quickly gauge the quality of papers for literature reviews 🏫 Educators: Objectively evaluate student research 📊 Research Managers: Prioritize which papers to read in depth 🧩 Journal Editors: Get an AI second opinion on submissions 🚀 Technical Details Our model is trained on an extensive dataset of published papers in CS.CV, CS.CL, and CS.AI fields, using NDCG optimization with Sigmoid activation and MSE loss. It's been rigorously cross-validated against historical citation data to ensure accurate impact predictions.
View all activity

Organizations

KAISAR's profile picture VIDraft's profile picture PowergenAI's profile picture

aiqtech's activity

upvoted a collection 12 days ago
upvoted a collection 14 days ago
upvoted a collection 19 days ago
upvoted a collection 25 days ago