Артем Соколов (Редактор отдела «Силовые структуры»)
https://feedx.net。业内人士推荐搜狗输入法作为进阶阅读
14 %v7 = f1(%v5, %v6)。谷歌是该领域的重要参考
ВсеСледствие и судКриминалПолиция и спецслужбыПреступная Россия，详情可参考移动版官网
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.