一位来自r/MachineLearning的用户正在寻求澄清，他们为多轮对话生成构建内存图的方法是否构成“过拟合”。他们在提取过程中围绕已知数据结构设计了图，而没有直接引用问答对。用户质疑这种方法是经典的过拟合还是仅仅是模式感知工程，并正在寻找一个确凿的测试来证明它不是数据泄露。 AI
影响 引发了关于AI模型开发和数据处理最佳实践的疑问。
排序理由 用户对AI方法论的提问，而非发布或重大事件。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
AI研究人员质疑内存图设计是否过拟合
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报道来源 [1]
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围绕已知数据结构设计内存图，如果我从不接触问题，是否算是“过拟合”？[D]
<!-- SC_OFF --><div class="md"><p>building a missing data infrastructure and started benchmarking long multi-session conversations (LoCoMo). I know the data looks like: people, facts, claims, events, timestamps, relations. So I extract those into a graph.<br /> I did not look at …