Noob Vibe Paper: DeepSeek OCR Contexts Optical Compression

DeepSeek-OCR-Contexts Optical Compression

Ever wonder how AI can compress massive documents into tiny data while keeping accuracy? DeepSeek-OCR shows us the future of long-context processing!

🚀 **Key Features:**
- Introduces a novel optical 2D mapping technique to compress long text into manageable vision tokens
- Achieves up to 97% OCR accuracy with a compression ratio of 10×, and still maintains 60% at 20×
- Outperforms state-of-the-art models like GOT-OCR2.0 and MinerU2.0 using significantly fewer vision tokens

✨ **Real-world Impact:**
- Can process over 200,000 pages daily in production using a single A100-40G GPU
- Demonstrates strong performance on OmniDocBench and Fox benchmarks

🤖 **Tech Deep Dive:**
- Powered by DeepEncoder and DeepSeek3B-MoE-A570M decoder for efficient compression and decoding
- Supports multiple resolutions and is built for high-performance document understanding

Noob Learning: Let's vibe learning together!

---

https://www.facebook.com/nooblearning
https://github.com/deepseek-ai/DeepSeek-OCR

Видео Noob Vibe Paper: DeepSeek OCR Contexts Optical Compression канала Noob Learning