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Researchers adapt Ai2's open olmOCR 2 for historical and archaeological archives

2 articles2 sourcessince Oct 28Last article 28m ago ·

Overview

AISummary of 2 articles

Ai2 releases olmOCR 2, a document-to-text model with open weights and code that researchers can run locally or adapt to their own libraries.

Historian Maurice Casey built ArtificeOCR to transcribe his photographs of early twentieth-century radical politics sources on his own computer.

TU Wien and the Austrian Archaeological Institute fine-tuned olmOCR 2 using LoRA, a method that trains a small set of additional parameters, on 57 records. On 450 test records of Carnuntum pottery, transcription error fell from 15.58% to 1.11%, according to the Ai2 report.

Written by AI from the articles below · updated Oct 28, 2:38 PM ET

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Developments

2 developments

  1. Oct 28, 2:32 PM ET · 1 article
    Ai2 highlights two research projects using olmOCR 2 for historical and archaeological document work
    Ai2: olmOCR 2 turns document images into searchable text for research
  2. Oct 28, 4:00 AM ET · 1 article
    Researchers describe adapting olmOCR 2 for historical and archaeological archives
    Ai2 (Allen Institute for AI): How researchers are adapting olmOCR 2 for historical and archaeological archives

Article timeline

The articles in this story. Times are ET.

Oct 28
  1. Ai2Official
    olmOCR 2 turns document images into searchable text for research

    AIAi2 releases olmOCR 2, a document-to-text model with open weights and code that researchers can run locally or adapt to their own libraries. The post says two projects show its use for historical and archaeological research.

    Image from @allen_ai's post
  2. Ai2 (Allen Institute for AI)Official
    How researchers are adapting olmOCR 2 for historical and archaeological archives

    AIResearchers are running Ai2's open olmOCR 2 locally to make archives searchable. Historian Maurice Casey built ArtificeOCR to transcribe his photographs of early twentieth-century radical politics sources on his own computer. TU Wien and the Austrian Archaeological Institute fine-tuned olmOCR 2 with LoRA on 57 records, cutting transcription error on 450 Carnuntum pottery records from 15.58% to 1.11%.

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