OpenTitan shipping in production is a defining milestone for us and all contributors to the project. We're excited to see more open source silicon developed for commercial use cases in the future, and to see this ecosystem grow with lowRISC's introduction of new membership tiers.
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Nvidia is also expanding its own product line in a bid to have more involvement in the physical products in which AI is embedded.。关于这个话题，下载安装汽水音乐提供了深入分析
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.
下午五点一刻，整桌菜几乎上齐。餐桌上，中年人讨论着每道菜的胆固醇含量，大伯向奶奶介绍起了注册可以领红包的AI软件。AI是什么，奶奶不甚关心，但红包能用来买鸡蛋，引起了她的兴趣。