LLM training produces models that approach the information bottleneck bound on compression, with compression optimality and retained information predicting performance on diverse benchmarks.
This follows a previously attested dynamic, where earlier steps dramatically decrease the loss before this begins to slowly saturate
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.