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fidelity

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Autocurator is a comprehensive benchmarking toolkit for evaluating synthetic tabular data. It measures fidelity, coverage, privacy, and utility through quantitative metrics, visual reports, and PCA/correlation diagnostics. Ideal for validating VAE, GAN, Copula, or Diffusion-generated datasets.

  • Updated Jul 26, 2026
  • Python

A narrative and technical exploration of data authenticity through the four pillars of synthetic data realism, Fidelity, Coverage, Privacy, and Utility. This thought-leadership piece combines storytelling, mathematics, and code to explain how these metrics define the ethical and functional “soul” of data in AI systems.

  • Updated Nov 14, 2025

蒸馏工厂:把书籍/长视频/播客/访谈/人物素材蒸馏成可执行、可验证、可追溯的 Agent Skills。contract-first + FIDELITY 双 Agent 出厂质检 + 跨模型异族复评(DeepSeek,组织独立台账可查)。五道机器门禁不过不发版;82 个自身缺陷公开登记,数字由测试强制相等。零第三方依赖,默认离线。

  • Updated Nov 6, 2026
  • Python

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