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Hugging Face released Grabette, an open, low-cost handheld system to record robot-manipulation data using a gripper, camera, and browser-based processing, aiming to crowdsource a large, diverse dataset for robot...
Hugging Face’s DharmaOCR, a Brazilian Portuguese–focused optical character recognition model, maintains a measurable performance advantage over newer multilingual OCR systems in both accuracy and stability on...
Hugging Face disclosed a July 2026 AI-driven intrusion into its production systems, detected and analyzed using internal AI tools. No evidence of tampering with public models or datasets was found, but credentials and...
Hugging Face’s Skylight team details the architecture of Shippy, a maritime AI agent designed for high-stakes operational decisions, emphasizing reliability, deterministic tooling, and sandboxed user sessions.
Hugging Face describes how model routing in agentic systems requires optimizing cost, latency, and quality simultaneously rather than relying on static model pricing or difficulty estimates.
Hugging Face introduces Real World VoiceEQ, a benchmark assessing voice AI’s human-like listening, response, and naturalness beyond traditional metrics like word error rate.
Hugging Face introduces Inkling, a 1-trillion-parameter open multimodal model by Thinking Machines that processes text, images, and audio with a 1-million-token context window and speculative decoding layers.
Hugging Face’s PyTorch profiling series concludes with an analysis of attention mechanisms, comparing naive, in-place, and optimized implementations to highlight performance gains and kernel reductions.
Hugging Face’s transformers library now integrates with vLLM to deliver native-speed inference for compatible models without requiring custom implementations, expanding accessibility and performance for developers.
Hugging Face and Amazon SageMaker Studio now offer a one-click deep-link integration, streamlining the process from model discovery to deployment or fine-tuning within SageMaker Studio.
Microsoft and Hugging Face announced Hugging Face models on Foundry Managed Compute, offering a curated catalog of open-weight models deployable in one click with enterprise-grade security and governance.
Hugging Face released LeRobot v0.6.0, introducing world model policies, six new VLAs, and reward models to improve robot learning. The update includes faster dataset handling, depth sensing, and cloud training support.
Hugging Face and SkyPilot integrate to let teams run AI workloads on any cloud without paying egress fees for data access, using Hugging Face Storage as a SkyPilot backend.
Hugging Face details the data pipeline behind PRX, a 7B text-to-image model, emphasizing diversity over aesthetic perfection in pre-training datasets and the use of long, accurate captions to improve output quality.
Hugging Face introduces a new 'kernel' repository type on the Hub, enhancing security with trusted publishers and code signing while improving CLI tools and framework support for kernel development.
Hugging Face and Cerebras unveiled a real-time speech-to-speech AI pipeline using Gemma 4 31B, reducing latency for natural voice interactions in robots and assistants.