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BriLLM-MetaPred: A Representation-Prediction Unity Language Model with Adaptive Self-Measurement
We present BriLLM-MetaPred, the first engineering implementation of the MetaPred machine-learning framework established by a mathematical theory of AGI, instantiated for language modeling. The theory argues that MetaPred is both necessary and sufficient as a machine-learning primitive for general co
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