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The LlaVA v1.5 has a good visual understanding of objects but still can't accurately predict OCR in most cases. Can the model be fine tuned on a large dataset of OCR to read text and numbers with a better accuracy to improve OCR for a better model?
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The LlaVA v1.5 has a good visual understanding of objects but still can't accurately predict OCR in most cases. Can the model be fine tuned on a large dataset of OCR to read text and numbers with a better accuracy to improve OCR for a better model?
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