广东省中医院党委书记史俏蓉介绍，“师带徒”是中医药人才培养的重要方式。自2001年起，广东省中医院率先开启师承全国名老中医的新举措，创造了“跨地区拜师”“集体带、带集体”“一代带二代”“脱产跟师”等模式。至今共有205名“师带徒”指导老师，其中国医大师47名、全国名中医25名。
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Can these agent-benchmaxxed implementations actually beat the existing machine learning algorithm libraries, despite those libraries already being written in a low-level language such as C/C++/Fortran? Here are the results on my personal MacBook Pro comparing the CPU benchmarks of the Rust implementations of various computationally intensive ML algorithms to their respective popular implementations, where the agentic Rust results are within similarity tolerance with the battle-tested implementations and Python packages are compared against the Python bindings of the agent-coded Rust packages: