Hugging Face
Hugging Face is the GitHub of machine learning — the platform hosting millions of open models, datasets and demos. Its Transformers library and open leaderboards made it the center of gravity for open-source AI. All our Hugging Face coverage lives on this page.
KDnuggets published a guide to local call analysis with Whisper, BERTopic, and Streamlit
KDnuggets reviewed an open-source project that transcribes customer call recordings with Whisper, detects sentiment and emotions, and then groups topics in a local…
NVIDIA showed how Gemma 4 with voice and a webcam runs on Jetson Orin Nano Super
NVIDIA published a demo in which Gemma 4 decides on its own when to activate the webcam and responds by voice — all locally on Jetson Orin Nano Super with 8 GB of…
Nvidia unveiled the first open dataset and foundation AI models for medical robots
Nvidia and partners on Hugging Face released the first large open dataset for medical robots and two foundation models for surgery, simulation, and future autonomy.
Hugging Face showed how to build a weather AI agent on smolagents in 15 minutes
Microsoft GraphRAG and Ollama: How Graph-Based RAG Performed on Local Models
Meta FAIR Releases NeuralSet — Python Package for Connecting Neural Data and AI Models
AI Model Evaluation Now Costs More Than Training — A New Barrier for Researchers
Hugging Face and ModelAudit: research revealed the limits of built-in ML model protection
An experiment on Hugging Face models showed that ModelAudit detects additional dangerous signals, but often generates noise, and the accuracy of findings strongly…
IBM reveals how it built Granite 4.1: 15 trillion tokens, 512K context window, and focus on quality
IBM detailed its approach to training Granite 4.1: five pretraining stages, 15 trillion tokens, context window up to 512K, and separate SFT and RL pipelines for…
SenseTime Opens SenseNova U1 Model for Chinese Chips, Betting on Speed
LlamaIndex ParseBench: How to Test Document Parsing via Python and Hugging Face
smol-audio from Deep-unlearning: A collection of Colab notebooks for audio model fine-tuning
DeepSeek and Gemma: How a Hybrid LLM Experiment on Kaggle Broke the Transformers Library
ruGPT3XL Gains 8k Context: Restored Model Transcends 2k Limit with Minimal Losses
The ruGPT3XL restoration author fixed sparse attention, increased model context from 2k to 8k, and preserved quality on short sequences with minimal noticeable…
Arcee AI Released Trinity Large Thinking — Open Reasoning Model for AI Agents
Arcee AI open-sourced Trinity Large Thinking weights under Apache 2.0 license and focused on long agent scenarios, multi-step reasoning, and confident tool use.