🌐 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.
🤖 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
🎨 BadgeCraft: Create Beautiful Badges with Ease! ✨ Hello there! Today I'm introducing BadgeCraft, a simple app that lets you create stunning badges for your websites, GitHub READMEs, and documentation.
🌟 Key Features
🖌️ 14 diverse color options including vibrant neon colors 🔤 Custom text input for label and message 🖼️ Support for 2000+ logos via Simple Icons 🔗 Clickable link integration 👁️ Real-time preview 💻 Ready-to-use HTML code generation
📝 How to Use
Label - Enter the text to display on the left side of the badge (e.g., "Discord", "Version", "Status") Message - Enter the text to display on the right side of the badge Logo - Type the name of a logo provided by Simple Icons (e.g., "discord", "github") Style - Choose the shape of your badge (flat, plastic, for-the-badge, etc.) Color Settings - Select background color, label background color, and logo color Link - Enter the URL that the badge will link to when clicked
✅ Use Cases
Add social media links to your GitHub project README Display version information or download links on your website Include tech stack badges in blog posts Show status indicators in documentation (e.g., "in development", "stable")
💡 Tips
Click on any of the prepared examples to automatically fill in all settings Copy the generated HTML code and paste directly into your website or blog HTML works in GitHub READMEs, but if you prefer markdown, use the  format
👨💻 Tech Stack This app was built using Gradio and leverages the shields.io API to generate badges. Its simple UI makes it accessible for everyone!
📊 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! 🧠💡
✨ 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.
And you get universal explaining tool that works anywhere on your X Org Desktop (on operating systems which are usually Fully Free Software like Debian GNU/Linux)
🧠 ThinkFlow: The Revolutionary Platform That Gives LLMs the Power to Think 🚀
Hello AI community! We're excited to introduce you to ThinkFlow, an innovative service that transforms how language models solve problems. 🎉 VIDraft/ThinkFlow-llama
✨ What is ThinkFlow? ThinkFlow is a groundbreaking platform that automatically applies step-by-step reasoning capabilities to existing LLM models without any modifications. It makes complex problem-solving transparent, allowing you to witness the model's thought process in real-time.
🔍 Key Features
Reasoning Without Model Modifications: Add step-by-step reasoning while utilizing existing LLMs as they are ⚙️ Visualized Thinking Process: See exactly how the model analyzes and solves problems 👁️ Before & After Comparison: Compare standard responses with reasoning-enhanced outputs in real-time 📊 Improved Accuracy: Deliver more accurate solutions for complex math and logic problems 📈 Educational Value: Teach students systematic approaches to problem-solving 👨🏫 User-Friendly Interface: Intuitive and easy-to-use UI for seamless experience 🖥️
💡 What Problems Can It Solve? ThinkFlow is particularly effective for various domains including:
👨💻 Technical Details ThinkFlow is built on the meta-llama/Llama-3.1-8B-Instruct model and uses carefully designed prompt chains to guide the model through step-by-step thinking. Each reasoning step builds upon the results of previous steps, culminating in a comprehensive final answer.
💬 Join Our Community! If you have questions or suggestions about ThinkFlow, join our Discord community: https://discord.gg/openfreeai Let's build better AI reasoning experiences together! 💪
🧠 ThinkFlow: The Revolutionary Platform That Gives LLMs the Power to Think 🚀
Hello AI community! We're excited to introduce you to ThinkFlow, an innovative service that transforms how language models solve problems. 🎉 VIDraft/ThinkFlow-llama
✨ What is ThinkFlow? ThinkFlow is a groundbreaking platform that automatically applies step-by-step reasoning capabilities to existing LLM models without any modifications. It makes complex problem-solving transparent, allowing you to witness the model's thought process in real-time.
🔍 Key Features
Reasoning Without Model Modifications: Add step-by-step reasoning while utilizing existing LLMs as they are ⚙️ Visualized Thinking Process: See exactly how the model analyzes and solves problems 👁️ Before & After Comparison: Compare standard responses with reasoning-enhanced outputs in real-time 📊 Improved Accuracy: Deliver more accurate solutions for complex math and logic problems 📈 Educational Value: Teach students systematic approaches to problem-solving 👨🏫 User-Friendly Interface: Intuitive and easy-to-use UI for seamless experience 🖥️
💡 What Problems Can It Solve? ThinkFlow is particularly effective for various domains including:
👨💻 Technical Details ThinkFlow is built on the meta-llama/Llama-3.1-8B-Instruct model and uses carefully designed prompt chains to guide the model through step-by-step thinking. Each reasoning step builds upon the results of previous steps, culminating in a comprehensive final answer.
💬 Join Our Community! If you have questions or suggestions about ThinkFlow, join our Discord community: https://discord.gg/openfreeai Let's build better AI reasoning experiences together! 💪
