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AI organizations commit prompts to repos, sparking reproducibility questions

Some AI-focused engineering organizations are committing their AI prompts to public repositories, prompting questions about the reasoning behind this practice. Since AI outputs are non-deterministic and models evolve rapidly, these prompts are unlikely to be for exact reproduction of past results. The purpose of storing these prompts remains unclear, with speculation about potential benefits beyond simple reproducibility. AI

影响 Understanding prompt storage practices could inform AI development workflows and knowledge management.

排序理由 The item discusses a practice and asks questions about its reasoning, rather than reporting on a specific event or release.

在 Mastodon — sigmoid.social 阅读 →

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  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    我最近了解到,AI 前沿工程组织将其 AI 提示(prompts)提交到其代码库的频率越高。有人知道这是为什么吗?

    I recently learnt that the more AI forward engineering organisations commit their AI prompts to their repositories. Does anyone know the reasoning behind this practice? AI output is non deterministic, so running the exact same prompts would give a different output. Running them a…