AI Briefing#tii
The latest AI and developer news about #tii, with the original source and a short summary.
The latest AI and developer news about #tii, with the original source and a short summary.
The model achieves a 20.92% average Word Error Rate on Arabic benchmarks, outperforming the previous best published result by 2.25 percentage points.
The new 7B model achieves 84.83% on the Alyah benchmark and significantly outperforms larger general-purpose models in dialect fidelity and cultural understanding.
TII has released Falcon-Arabic, a 7B-parameter model based on the Falcon 3 architecture, maximized for Arabic performance.
TII has released the Falcon 3 open model family, featuring under-10B-parameter models with enhanced math, coding, and reasoning capabilities.
TII has released a 7B-scale Mamba-based model that achieves high performance without an attention mechanism.
TII has released the 11B-scale Falcon 2 LLM and VLM, trained on over 5 trillion tokens.
TII has released Falcon 180B, a large-scale open-source LLM with 180 billion parameters.
The high-performance open-source LLM Falcon series developed by TII has been released into the Hugging Face ecosystem.