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A transformer that doesn't hallucinate (or knows what is a hallucination) would be the ultimate compression algorithm. But right now that isn't a solved problem, and it leaves the output of LLMs too untrustworthy to use over what are colloquially known as compression algorithms.


It is still task related.

Compressing a comprehensive command line reference via model might introduce errors and drop some options.

But for many people, especially new users, referencing commands, and getting examples, via a model would delivers many times the value.

Lossy vs. lossless are fundamentally different, but so are use cases.




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