LLM training produces models that approach the information bottleneck bound on compression, with compression optimality and retained information predicting performance on diverse benchmarks.
They opt instead for quantising representations via clustering, based on related work from Sajjadi et al
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Learning is Forgetting: LLM Training As Lossy Compression
LLM training produces models that approach the information bottleneck bound on compression, with compression optimality and retained information predicting performance on diverse benchmarks.