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Русский(RU) Почему мы не нашли готового PII-детектора для русского языка: грабли боевого контура перед LLM Почему готового PII-детектора для русского языка оказалось мало:

Challenges in developing PII detectors for Russian language models

By PulseAugur Editorial · [1 sources] ·

A technical article discusses the challenges of finding a ready-made PII detector for the Russian language, highlighting issues with Cyrillic characters, regular expressions, Named Entity Recognition (NER) models like GLiNER, and masking techniques within large language model (LLM) pipelines. The author details the complexities encountered when attempting to implement such a system in a production environment. AI

IMPACT Highlights technical hurdles in adapting AI tools for specific languages and character sets, impacting the development of privacy-preserving applications.

RANK_REASON The item is a technical article discussing challenges in implementing a specific AI tool, rather than a release or significant industry event.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Challenges in developing PII detectors for Russian language models

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The item is a technical article discussing challenges in implementing a specific AI tool, rather than a release or significant industry event.
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Русский(RU) · [email protected] ·

    Why we couldn't find a ready-made PII detector for the Russian language: the pitfalls of a production environment before LLMs. Why there weren't enough ready-made PII detectors for the Russian language:

    Почему мы не нашли готового PII-детектора для русского языка: грабли боевого контура перед LLM Почему готового PII-детектора для русского языка оказалось мало: кириллица, regex, NER, GLiNER, маскирование и ошибки боевого LLM-контура. https:// habr.com/ru/companies/agima/ar ticles…

    LINKS habr.com/…/1072932

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