AITowards Data Scienceabout 2 hours ago
RAG Was a Temporary Workaround. What Next?
1 min read
RAG systems compress neural hidden states into text, store them as vectors, then reconstruct them, creating a high-latency translation layer. Direct GPU-to-GPU latent state transfer skips embedding, retrieval, and prompt reconstruction. Persistent neural state remains a research challenge due to model-specific, unstable representations across architectures.
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