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Built a companion app with associative memory using Matryoshka embeddings + dimension-wise reflection

The memory system uses Qwen's 8B embedding model with Matryoshka training, truncated to 512 dimensions. For each dimension, the variance across recent episodes determines a reflection score, passed through a sigmoid so dimensions are effectively binary: either retrieved normally or reflected around…

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  1. 2026-09-19 16:59 · r/PromptEngineering
    Built a companion app with associative memory using Matryoshka embeddings + dimension-wise reflection

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