We can solve things in a human way, a statistical way or with engineering-esque rules of thumb, but turning them into algorithms we can truly understand them! (It's unfortunate how the popular use of the word algorithm inverted its original meaning. As a computer scientist, it means totally known discrete steps to carry out something while the popular understanding sees a black box who inconceivable inner workings.) Learning to drag heuristics, rules of thumb and statistical approximations into discrete, understandable programs is lovely, intellectually satisfying! But not everything has to be that way either. You can make toys, games, puzzles without understanding everything; it's just about the effect you're trying to achieve like a magic trick or a film.
Computational Methods & Theoretical Foundations，更多细节参见snipaste截图
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Departing from conventional bidirectional encoder structures like BERT, which have long been standard in embedding technology, the Harrier-OSS-v1 series adopts decoder-exclusive frameworks akin to those in modern LLMs.
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