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AI researcher questions if memory graph design is overfitting

By PulseAugur Editorial · [1 sources] ·

A user on r/MachineLearning is seeking clarification on whether their approach to building a memory graph for multi-turn dialogue generation constitutes "overfitting." They have designed the graph around known data structures without directly referencing question-answer pairs during the extraction process. The user is questioning if this method is classical overfitting or simply schema-aware engineering, and is looking for a definitive test to prove it is not data leakage. AI

IMPACT Raises questions about best practices in AI model development and data handling.

RANK_REASON User question about AI methodology, not a release or significant event.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI researcher questions if memory graph design is overfitting

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User question about AI methodology, not a release or significant event.
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/chaachans ·

    Is designing a memory graph around known data structure “overfitting” if I never touch the questions? [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 …

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