In a 2023 living note from Shalizi, it's proposed that LLMs are Markov. Therefore there's nothing special about them other than being large; any other Markov model would do just as well. Shalizi therefore proposes Large Lempel-Ziv: LZ78 without dictionary truncation. This is obviously a little silly, because Lempel-Ziv dictionaries don't scale; we can't just magically escape asymptotes. Instead, we will do the non-silly thing: review the literature, design novel data structures, and demonstrate a brand-new breakthrough in compression technology.
run the eval in gpipeline
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#Reverse Engineering
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这再次印证了，消费正从“大众趋同”走向“小众精准”。而竞争小、用户准、溢价空间大，正是细分赛道的魅力。
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