llama-3-3-70b-instruct-d6309f0f·2 events·first seen Aliases: Llama 3.3 70B Instruct, LLaMA-3.1-70B-Instruct
A new arXiv preprint proposes a framework for making transformer-based speech cognitive impairment detection clinically interpretable by combining SHAP token attribution, linguistic feature analysis, and a four-stage LLM reasoning pipeline using LLaMA-3.1-70B-Instruct. The system is built on the SpeechCARE-Adaptive Gating Network multimodal model (F1=72.11% on NIA PREPARE) and maps outputs to four cognitive-linguistic dimensions. Physician evaluation on 70 samples showed strong alignment with clinical profiles and a System Usability Scale score of 82/100, suggesting practical clinical workflow integration potential.
Meta released Llama 3.3 70B Instruct, a new instruction-tuned variant in the Llama 3 family, published on Hugging Face. The model supports English, French, and Italian and has accumulated over 691,000 downloads and 2,800 likes, indicating strong community uptake. This represents a meaningful open-weights release in the 70B parameter class.