A Coding Implementation to Design Self-Evolving Skill Engine with OpenSpace for Skill Learning, Token Efficiency, and Collective Intelligence

· · 来源:dev信息网

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This architecture draws inspiration from previous autonomous research initiatives, which demonstrated that AI agents implementing keep/revert cycles on training code could identify numerous optimizations across hundreds of experiments within days using minimal hardware. AutoKernel adapts this methodology to kernel code, employing a distinct search space and correctness-verified benchmarking as its evaluation metric instead of validation metrics.

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关于作者

刘洋,资深行业分析师,长期关注行业前沿动态,擅长深度报道与趋势研判。