LLM training produces models that approach the information bottleneck bound on compression, with compression optimality and retained information predicting performance on diverse benchmarks.
E.3 APPROXIMATING THEOUTPUTDISTRIBUTION During inference models predict the next token given preceding context, but this is distinct from how they are trained
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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.