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· · 来源:ai资讯

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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:

Vectorized,这一点在搜狗输入法下载中也有详细论述

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This is relevant beyond toy demos. Dagger uses LLB as its execution engine for CI/CD pipelines. Earthly compiles Earthfiles into LLB. The pattern is proven at scale.

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