超衍智能
基础模型与学习范式
超衍智能围绕自进化基座模型，把任务环境、数据、模型和评估器组成持续学习闭环。已探索计算物理、化学、生物等跨学科研发环境，目标是让模型在实际科研任务中不断改进。
Apex Intelligence is developing self-evolving foundation models around a loop of task environments, data, models and evaluators. Its cross-disciplinary research settings include computational physics, chemistry and biology, where learning from real R&D tasks matters.
