For the web version’s accuracy, I tested different feature limits. I prioritized performance and kept 500k features—stored as JSON, it’s 107MB (though gzip on server reduces it to ~38MB). I tried smaller versions (50k, 80k)—accuracy only dropped 3–4%, but final AI detection rates varied significantly, especially for human texts, with relative errors up to ±50%, leading to false positives. So I stuck with 500k.
How traditional query execution engines work I will quickly go into the Volcano execution model. Almost all traditional and modern Systems use it or some variation
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The difference was immediate:
По данным агентства, четверо фигурантов уголовного дела включены Росфинмониторингом в перечень террористов и экстремистов.