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I’d be interested in hearing more about how to “abuse” compression algorithms to detect outliers in datasets or to filter out repetitions. For example, LLMs or
by leobg 2y ago
I’d be interested in hearing more about how to “abuse” compression algorithms to detect outliers in datasets or to filter out repetitions. For example, LLMs or Whisper sometimes get stuck in a loop, repeating a word, a group of words, or whole sentences multiple times. I imagine a compression algorithm would be an interesting tool to filter out such noise. And there’s maybe even more shenanigans you can do with them besides actual compression…
- remram 2y agoWhy not use a dedicated algorithm? Rolling hashes and bloomfilters would get you a lot more than trying to glean something out of a compressed stream. It's not because compression algorithms use dictionaries that it's the only way to build a dictionary...