Image created with Flux Pro v1.1 Ultra. Image prompt: CU Boulder brand style — CU Gold & Black, Helvetica Neue, Flatirons, Tuscan-vernacular sandstone + red-tile roofs; CASE atrium, high-noon ambient light, over-shoulder perspective, subtle Flatirons contour motif; integrate the category “HuggingFace” via Poster: clean Helvetica Neue headline “HUGGINGFACE” with model-hub node icons; natural light, clean professional inspiring tone, crisp focus, subtle grain, editorial composition

🏆NVIDIA AI-Q, an NVIDIA Blueprint for building AI agents with advanced reasoning skills, is now the leading open and portable #AIagent for high-fidelity research on the Deep Research Bench leaderboard. ➡️ https://x.com/NVIDIAAIDev/status/1952429440551547332

What can OpenAI’s new open models do with the news? I built a News Agent to find out. It can answer questions about the news in real time, and every answer comes with original source links so you can dive deeper. Runs with Hugging Face inference providers, letting you compare https://x.com/fdaudens/status/1955296761582358828

We’re excited to share that we have Day-0 support in Hugging Face Transformers for DINOv3 so people can easily leverage the full family of models. Find out more on @huggingface here: https://x.com/AIatMeta/status/1956027800500232525

SLAM just got a serious speed boost. Efficient LoFTR is now integrated into the @huggingface Transformers library. It’s 2.5× faster than the original LoFTR and can even outperform the SuperPoint + LightGlue pipeline. Image matching finds correspondences between two images https://x.com/IlirAliu_/status/1953874253062787073

🚨 Big news! We decided that @huggingface’s post-training library, TRL, will natively supports training Vision Language Models 🖼️ This builds on our recent VLM support in SFTTrainer — and we’re not stopping until TRL is the #1 VLM training library 🥇 More here 👉 https://x.com/QGallouedec/status/1956066332488950020

You can run gpt-oss-20B on Google Colab thanks to @pcuenq @reach_vb 🤯 https://x.com/fdaudens/status/1953420511137931342

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