В России оценили вероятность восстановления отношений с Украиной

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Moment of introspection aside, I’m not sure what the future holds for agents and generative AI. My use of agents has proven to have significant utility (for myself at the least) and I have more-than-enough high-impact projects in the pipeline to occupy me for a few months. Although certainly I will use LLMs more for coding apps which benefit from this optimization, that doesn’t imply I will use LLMs more elsewhere: I still don’t use LLMs for writing — in fact I have intentionally made my writing voice more sardonic to specifically fend off AI accusations.

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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:,推荐阅读Line官方版本下载获取更多信息

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