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Congrats to Ai2's Sewon Min on the recognition! Her work is pushing the boundaries of how we can integrate private data into language model training flexibly and securely.

Do not hallucinate 🫵

We are #1 on the Hugging Face heatmap - this is what true openness looks like!🥇🎉 750+ models 230+ datasets And counting... Come build with us huggingface.co/spaces/cfahlgr…

This race is not zero-sum and benefits the whole humanity!

figuring out how to benchmark very different OCR models was quite the challenge! Jake Poznanski came up with a quite elegant framework of “extraction unit tests” that evaluate how well models preserve reading order, formulas, tables, etc—ensuring a fair comparison!

excited to release our new benchmark for OCR addressing 3 eval challenges: 🐟 coverage of many types of docs (born digital vs old scans, pages w tiny fonts, etc) 🐡 coverage of many different OCR targets (e.g. equations, tables, etc) 🐠 apples-to-apples comparison across systems