LLM training produces models that approach the information bottleneck bound on compression, with compression optimality and retained information predicting performance on diverse benchmarks.
Naively we could use the same temperature across all models, however models differ in the dimen- sionality of their hidden representations
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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.