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Vik Paruchuri

@VikParuchuri • 16,508 subscribers

Open source AI. Founder of @datalabto Past: founded @dataquestio

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We're open sourcing a 9B model that extracts structured data from documents at near-frontier performance. - 90.2% on our bench, vs Gemini 3.5 Flash at 91.3% - Leads extraction models like NuExtract3 (81.5%) - 9.5s p50 timings - Pass JSON schema

We're open sourcing a 9B model that extracts structured data from documents at near-frontier performance. - 90.2% on our bench, vs Gemini 3.5 Flash at 91.3% - Leads extraction models like NuExtract3 (81.5%) - 9.5s p50 timings - Pass JSON schema

228,150 views

In their OCR 4 launch this week, Mistral shared a significantly lower score for Chandra 2 than you get from our repo or by running our public code. They also omitted Infinity Parser, which reports 87.6%, from their olmocr comparison.

In their OCR 4 launch this week, Mistral shared a significantly lower score for Chandra 2 than you get from our repo or by running our public code. They also omitted Infinity Parser, which reports 87.6%, from their olmocr comparison.

48,047 views

This is lift (our open source extraction model) pulling structured data out of a messy 26-page contract.

This is lift (our open source extraction model) pulling structured data out of a messy 26-page contract.

42,241 views

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Surya 2, which has 650M params and scores 83.3% on olmocr, is the most accurate small OCR model. One reason why is character tokenization. Constant compute over chars improves accuracy and model size.

Surya 2, which has 650M params and scores 83.3% on olmocr, is the most accurate small OCR model. One reason why is character tokenization. Constant compute over chars improves accuracy and model size.

31,747 views • 1 month ago

OCR hallucinations poison downstream workflows. We built research-driven safeguards that reduce hallucinations to near-zero in our benchmark. And our word-level bboxes and confidence scores let you check any potential hallucinations that slip through.

OCR hallucinations poison downstream workflows. We built research-driven safeguards that reduce hallucinations to near-zero in our benchmark. And our word-level bboxes and confidence scores let you check any potential hallucinations that slip through.

16,756 views • 1 month ago

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