SmolLM3 is a multilingual, long-context model that rivals larger ones like Qwen3-4B. Learn how it achieves top-tier performance with 128k context.
SmolLM3: Can This 3B Model Outperform Llama and Qwen? Read More »
Gradio MCP servers just got faster, smarter, and easier. Learn about real-time notifications, file uploads, OpenAPI integration, and more.
Gradio MCP Servers: What’s New in Version 5.38? Read More »
Explore why Hugging Face switched from Git LFS to Xet. Learn how Xet enables faster transfers, better scaling, and seamless repo migration.
Git LFS vs Xet: Is Xet the Better Storage for AI? Read More »
Learn how Hugging Face built its MCP Server, the protocol powering AI assistant integration with tools like Gradio and the Hub.
MCP Server: How Does Hugging Face Build It? Read More »
Explore how asynchronous robot inference boosts speed and responsiveness by separating action prediction from execution in modern robotics.
Asynchronous Inference: Should Robots Predict While Acting? Read More »
Discover Reachy Mini: an open-source robot for AI, coding, and education. Affordable, modular, and programmable in Python. Is this the robot for you?
Is Reachy Mini the Future of Open Source Robotics? Read More »
Explore how ScreenEnv powers full-stack desktop agents in Docker for robust GUI automation and AI integration without VM setups.
ScreenEnv for Desktop Agents: Is It Worth It? Read More »
Learn when and how to finetune sparse embedding models using Sentence Transformers, with tips for architecture, loss functions, and hybrid search.
Sparse Embedding Models: Should You Finetune Them? Read More »
Discover how Gradio MCP servers in Hugging Face Spaces can upskill your LLMs with image editing, transcription, and more AI capabilities.
Gradio MCP Servers: Can They Boost Your LLM? Read More »
Explore how SGLang boosts Transformers for faster NLP inference, efficiency, and easy deployment with Hugging Face integration.
Transformers Backend: Is SGLang the Better Option? Read More »
