🚨 JINA UNLEASHES HIGH-THROUGHPUT OCR MODEL ON DEEPSEEK ARCHITECTURE BOOSTING $FET NARRATIVE! ⚡
🔍 Institutional efficiency in the AI sector just took another leap forward. Jina AI released jina-ocr-v1, a 3.4 billion parameter MoE model built on DeepSeek-OCR, achieving an industry-leading 2.57 pages per second throughput on a single A100.
📊 Benchmark scores reached 91.14 on OmniDocBench v1.6 and 83.4 on olmOCR-Bench, outperforming base models by up to 7.4 points. With FastMTP speculative decoding, computational overhead drops while processing speed expands 22% over DeepSeek-OCR.
💡 As structural data pipelines optimize at scale, institutional capital flow into high-conviction AI assets continues building momentum. 💬 Will this performance leap spark the next major liquidity inflow across the $FET sector? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #FET #AISector #ArtificialIntelligence #Crypto #Web3
⚡ 💎
🔍 Institutional efficiency in the AI sector just took another leap forward. Jina AI released jina-ocr-v1, a 3.4 billion parameter MoE model built on DeepSeek-OCR, achieving an industry-leading 2.57 pages per second throughput on a single A100.
📊 Benchmark scores reached 91.14 on OmniDocBench v1.6 and 83.4 on olmOCR-Bench, outperforming base models by up to 7.4 points. With FastMTP speculative decoding, computational overhead drops while processing speed expands 22% over DeepSeek-OCR.
💡 As structural data pipelines optimize at scale, institutional capital flow into high-conviction AI assets continues building momentum. 💬 Will this performance leap spark the next major liquidity inflow across the $FET sector? 👇
⚠️ Not financial advice. Always manage your risk. 🛡️
🏷️ #FET #AISector #ArtificialIntelligence #Crypto #Web3
⚡ 💎