讯飞AI会议耳机Air2则主打开放式舒适体验，采用0.8mm航天级钛丝骨架与智能防漏音技术，单耳仅10克，支持53小时超长续航与离线闪录功能，完美兼顾了长时间佩戴的舒适性与突发会议的高效记录需求。未来智能正以AI助理与极致声学的双轮驱动，重构职场办公效率边界。
Abstract:Humans shift between different personas depending on social context. Large Language Models (LLMs) demonstrate a similar flexibility in adopting different personas and behaviors. Existing approaches, however, typically adapt such behavior through external knowledge such as prompting, retrieval-augmented generation (RAG), or fine-tuning. We ask: do LLMs really need external context or parameters to adapt to different behaviors, or do they already have such knowledge embedded in their parameters? In this work, we show that LLMs already contain persona-specialized subnetworks in their parameter space. Using small calibration datasets, we identify distinct activation signatures associated with different personas. Guided by these statistics, we develop a masking strategy that isolates lightweight persona subnetworks. Building on the findings, we further discuss: how can we discover opposing subnetwork from the model that lead to binary-opposing personas, such as introvert-extrovert? To further enhance separation in binary opposition scenarios, we introduce a contrastive pruning strategy that identifies parameters responsible for the statistical divergence between opposing personas. Our method is entirely training-free and relies solely on the language model's existing parameter space. Across diverse evaluation settings, the resulting subnetworks exhibit significantly stronger persona alignment than baselines that require external knowledge while being more efficient. Our findings suggest that diverse human-like behaviors are not merely induced in LLMs, but are already embedded in their parameter space, pointing toward a new perspective on controllable and interpretable personalization in large language models.，推荐阅读同城约会获取更多信息
大模型的名字、交互页面的logo、系统推荐的信息都会影响老年人对AI的使用，也会决定他们究竟是AI的“大胆拥抱者”，还是“望而却步者”。。关于这个话题，体育直播提供了深入分析
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