Hugging Face
1 Tool · 170 Intel
Hugging Face is an American machine learning company, founded in 2016 in New York City by Clément Delangue, Julien Chaumond, and Thomas Wolf. It began as a teen-focused chatbot app before pivoting to become a widely used open-source platform and community for sharing machine learning models, datasets, and tools, including its popular Transformers library. It is often described as functioning like a "GitHub of machine learning" for researchers, data scientists, and engineers.
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Tools
Open-source ML-engineer agent from Hugging Face that reads research papers, trains models, and ships them end to end.
Intel
InclusionAI's SingProbe reuses Qwen3.8-27B's own hidden states via a lightweight tapped probe to score query intent, response safety, and hallucination risk per token, matching dedicated guardrail models at under 0.5% decode overhead.
Two systems changes that make distillation recovery cheap: precompute the teacher's top-K logits offline so teacher and student never share VRAM, and replace the standard KL loss with a fused chunked version that avoids the full vocabulary-by-sequence matrix.