Shakti-250M
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2
An efficient small multi-language model for edge AI
Manish Tiwari
PredictiveManish
·
AI & ML interests
Natural Language Processing
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SandLogicTechnologies/Shakti-250M
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RakshitAralimatti's
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about 1 month ago
OCR has absolutely blown up in 2025, and honestly, my perspective on document processing has completely changed.
This year has been wild. Vision Language Models like Nanonets OCR2-3B hit the scene and suddenly we're getting accuracy on complex forms (vs for traditional OCR). We're talking handwritten checkboxes, watermarked documents, multi-column layouts, even LaTeX equations all handled in a single pass.
The market numbers say it all: OCR accuracy passed 98% for printed text, AI integration is everywhere, and real-time processing is now standard. The entire OCR market is hitting $25.13 billion in 2025 because this tech actually works now.
I wrote a detailed Medium article walking through:
1. Why vision LMs changed the game
2. NVIDIA NeMo Retriever architecture
3. Complete code breakdown
4. Real government/healthcare use cases
5. Production deployment guide
Article: https://medium.com/@rakshitaralimatti2001/nvidia-nemo-retriever-ocr-building-document-intelligence-systems-for-enterprise-and-government-42a6684c37a1
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reacted
to
RakshitAralimatti's
post
with 🚀
about 1 month ago
OCR has absolutely blown up in 2025, and honestly, my perspective on document processing has completely changed.
This year has been wild. Vision Language Models like Nanonets OCR2-3B hit the scene and suddenly we're getting accuracy on complex forms (vs for traditional OCR). We're talking handwritten checkboxes, watermarked documents, multi-column layouts, even LaTeX equations all handled in a single pass.
The market numbers say it all: OCR accuracy passed 98% for printed text, AI integration is everywhere, and real-time processing is now standard. The entire OCR market is hitting $25.13 billion in 2025 because this tech actually works now.
I wrote a detailed Medium article walking through:
1. Why vision LMs changed the game
2. NVIDIA NeMo Retriever architecture
3. Complete code breakdown
4. Real government/healthcare use cases
5. Production deployment guide
Article: https://medium.com/@rakshitaralimatti2001/nvidia-nemo-retriever-ocr-building-document-intelligence-systems-for-enterprise-and-government-42a6684c37a1
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replied to
RakshitAralimatti's
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about 1 month ago
but in healthcare can we depend on OCR?
reacted to
RakshitAralimatti's
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Post
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OCR has absolutely blown up in 2025, and honestly, my perspective on document processing has completely changed.
This year has been wild. Vision Language Models like Nanonets OCR2-3B hit the scene and suddenly we're getting accuracy on complex forms (vs for traditional OCR). We're talking handwritten checkboxes, watermarked documents, multi-column layouts, even LaTeX equations all handled in a single pass.
The market numbers say it all: OCR accuracy passed 98% for printed text, AI integration is everywhere, and real-time processing is now standard. The entire OCR market is hitting $25.13 billion in 2025 because this tech actually works now.
I wrote a detailed Medium article walking through:
1. Why vision LMs changed the game
2. NVIDIA NeMo Retriever architecture
3. Complete code breakdown
4. Real government/healthcare use cases
5. Production deployment guide
Article: https://medium.com/@rakshitaralimatti2001/nvidia-nemo-retriever-ocr-building-document-intelligence-systems-for-enterprise-and-government-42a6684c37a1
Try It Yourself
This year has been wild. Vision Language Models like Nanonets OCR2-3B hit the scene and suddenly we're getting accuracy on complex forms (vs for traditional OCR). We're talking handwritten checkboxes, watermarked documents, multi-column layouts, even LaTeX equations all handled in a single pass.
The market numbers say it all: OCR accuracy passed 98% for printed text, AI integration is everywhere, and real-time processing is now standard. The entire OCR market is hitting $25.13 billion in 2025 because this tech actually works now.
I wrote a detailed Medium article walking through:
1. Why vision LMs changed the game
2. NVIDIA NeMo Retriever architecture
3. Complete code breakdown
4. Real government/healthcare use cases
5. Production deployment guide
Article: https://medium.com/@rakshitaralimatti2001/nvidia-nemo-retriever-ocr-building-document-intelligence-systems-for-enterprise-and-government-42a6684c37a1
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Update README.md
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#17 opened 4 months ago
by
sumanth-sarvam
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7 months ago
Many ones who don't used hugging face are stuck with downloading models
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#5 opened 7 months ago
by
PredictiveManish
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