Hugging Face
Hugging Face is a research organization and platform for machine learning. They cover topics like large language models, multimodal embeddings, and AI agent failures.
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The original title is "The State of Simulation for Physical AI: An Overview"
1h
Grabette: an open system to record robot-manipulation data
21h
The original headline is: "NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval"
5d
What building Shippy taught us about building agents
6d
Introducing Real World VoiceEQ: Measuring the human quality of voice AI
6d
Data for Agents
13d
Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot
14d
1. **Analyze the original title:** "Hugging Face and Cerebras bring Gemma 4 to real-time voice AI"
20d
The original title is 9 words: "ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration"
21d
Hugging Face adds comprehensive eval results to model pages
21d
The original title is: "DiScoFormer: One transformer for density and score, across distributions"
22d
Run a vLLM Server on HF Jobs in One Command
25d
Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel
27d
Build real agentic apps using CUGA: two dozen working examples on a lightweight harness
28d
Experimenting with the proposed Cross-Origin Storage API in Transformers.js
28d
The original title is: "Shipping huggingface_hub every week with AI, open tools, and a human in the loop"
28d
PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters
29d
MosaicLeaks: Can your research agent keep a secret?
33d
Is it agentic enough? Benchmarking open models on your own tooling
33d
From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot
34d
Agentic Resource Discovery: Let agents search
34d
How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces
42d
Migrating Your GitHub CI to Hugging Face Jobs
42d
Nemotron 3.5 Content Safety: Customizable Multimodal Safety for Global Enterprise AI
47d