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Sarvam AI updates vision model, doubles down on Indic-language push

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Sarvam AI updates vision model, doubles down on Indic-language push

Business News Tech AI Sarvam AI updates vision model, doubles down on Indic-language push

Sarvam launched the original vision model in February as part of its efforts to build homegrown, "sovereign" AI systems tailored to India. The model was designed to read scanned documents and images and convert them into usable digital text, a task known as optical character recognition (OCR).

Artificial intelligence (AI) startup Sarvam AI on Thursday released an upgraded version of its vision AI model , Sarvam Vision 2.1 , in another push to build AI tools that work as well for Indian languages as they do for English. In a blog post, the company said the update will make it easier and cheaper for businesses to digitise paperwork such as forms, tables, and handwritten records, particularly in the multiple regional scripts used across the country. Sarvam launched the original vision model in February as part of its efforts to build homegrown, "sovereign" AI systems tailored to India. The model was designed to read scanned documents and images and convert them into usable digital text, a task known as optical character recognition (OCR).

Sarvam Vision performed well overall, but the company received feedback from users that it continued to struggle with complex forms and multi-page tables, and occasionally "hallucinated" — generating text that wasn't actually in the document being scanned. It was also seen as expensive to run at scale. What's new? 1 version, the company said it addressed these issues by retraining the model using a mix of real-world and artificially generated data, including handwritten forms in multiple Indian languages, to improve accuracy on messy or complex documents.


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