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Kali Novskaya | Telegram Webview: rybolos_channel/1125 -
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Кстати, пока я пост писала, там HuggingFace треснул и упал:

HF выложили датасет на 15 триллионов токенов — FineWeb 🍷— отфильтрованный моноязычный CommonCrawl, ускоряющий сходимость моделей. Совпадает по размеру, собственно, тренировочным сетом Llama 3, хотя прямо это не говорится.
🟣44 терабайта текстов, однако!
🟣https://huggingface.co/datasets/HuggingFaceFW/fineweb
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Кстати, пока я пост писала, там HuggingFace треснул и упал:

HF выложили датасет на 15 триллионов токенов — FineWeb 🍷— отфильтрованный моноязычный CommonCrawl, ускоряющий сходимость моделей. Совпадает по размеру, собственно, тренировочным сетом Llama 3, хотя прямо это не говорится.
🟣44 терабайта текстов, однако!
🟣https://huggingface.co/datasets/HuggingFaceFW/fineweb

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The Security Service of Ukraine said in a tweet that it was able to effectively target Russian convoys near Kyiv because of messages sent to an official Telegram bot account called "STOP Russian War." Telegram, which does little policing of its content, has also became a hub for Russian propaganda and misinformation. Many pro-Kremlin channels have become popular, alongside accounts of journalists and other independent observers. "Someone posing as a Ukrainian citizen just joins the chat and starts spreading misinformation, or gathers data, like the location of shelters," Tsekhanovska said, noting how false messages have urged Ukrainians to turn off their phones at a specific time of night, citing cybersafety. The War on Fakes channel has repeatedly attempted to push conspiracies that footage from Ukraine is somehow being falsified. One post on the channel from February 24 claimed without evidence that a widely viewed photo of a Ukrainian woman injured in an airstrike in the city of Chuhuiv was doctored and that the woman was seen in a different photo days later without injuries. The post, which has over 600,000 views, also baselessly claimed that the woman's blood was actually makeup or grape juice. For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
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