Турция сообщила о перехвате баллистического снаряда из Ирана14:52
a very common use case for regexes is to find matches that are preceded or followed by some context. a classical example being all lines that end with ‘a’. this requirement is usually expressed with a lookahead, where upon finding an ‘a’, you look ahead to check if it’s the end of the line. in a backtracking engine, this is very easy to implement - you just duct-tape the logic that checks the next character, but in a DFA-based engine, this is impossible because you cannot report “the match is here” if the next character is not even known yet. and by the time you know the next character, the position information is lost, so you can’t report the match retroactively (well, unless the distance is fixed of course..).
Lorenzo Franceschi-Bicchierai，更多细节参见搜狗输入法
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Create corresponding benchmarks in Python, and write a comparison script between the Python bindings and an existing Python package
Hallucination risksBecause LLMs like ChatGPT are powerful word-prediction engines, they lack the ability to fact-check their own output. That's why AI hallucinations — invented facts, citations, links, or other material — are such a persistent problem. You may have heard of the Chicago Sun-Times summer reading list, which included completely imaginary books. Or the dozens of lawyers who have submitted legal briefs written by AI, only for the chatbot to reference nonexistent cases and laws. Even when chatbots cite their sources, they may completely invent the facts attributed to that source.。业内人士推荐爱思助手下载最新版本作为进阶阅读