Hugging Face
Hugging Face

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.

Profile generated by AI for Anything

The original title is "The State of Simulation for Physical AI: An Overview"

The original title is "The State of Simulation for Physical AI: An Overview"

33m

Grabette: an open system to record robot-manipulation data

Grabette: an open system to record robot-manipulation data

20h

The original headline is: "NVIDIA Nemotron 3 Embed Ranks #1 Overall on RTEB, Advancing Agentic Retrieval"

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

What building Shippy taught us about building agents

6d

Introducing Real World VoiceEQ: Measuring the human quality of voice AI

Introducing Real World VoiceEQ: Measuring the human quality of voice AI

6d

Data for Agents

Data for Agents

13d

The user wants me to rewrite a headline about Hugging Face announcing a native-speed vLLM transformers modeling backend.

The user wants me to rewrite a headline about Hugging Face announcing a native-speed vLLM transformers modeling backend.

13d

From Hugging Face to Amazon SageMaker Studio in one click

From Hugging Face to Amazon SageMaker Studio in one click

13d

Hugging Face Models on Foundry Managed Compute

Hugging Face Models on Foundry Managed Compute

14d

LeRobot v0.6.0: Imagine, Evaluate, Improve

LeRobot v0.6.0: Imagine, Evaluate, Improve

14d

Run AI workloads on any cloud, store on Hugging Face: zero-egress storage with SkyPilot

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"

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"

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

Hugging Face adds comprehensive eval results to model pages

21d

The original title is: "DiScoFormer: One transformer for density and score, across distributions"

The original title is: "DiScoFormer: One transformer for density and score, across distributions"

22d

Run a vLLM Server on HF Jobs in One Command

Run a vLLM Server on HF Jobs in One Command

25d

Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel

Accelerating Transformers Fine-Tuning with NVIDIA NeMo AutoModel

27d

Build real agentic apps using CUGA: two dozen working examples on a lightweight harness

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

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"

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

PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters

29d

MosaicLeaks: Can your research agent keep a secret?

MosaicLeaks: Can your research agent keep a secret?

33d

Is it agentic enough? Benchmarking open models on your own tooling

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

From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot

34d