намёки с прошлого года почти сработали, тайный санта подкинул мне гпу-часов 😇
💅51custom 499728938914807917114🔥5😁4👍3❤2🤔2🎄1

Channel
@girlinds
On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry
888subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001316667450 |
|---|---|
| Type | Channel |
| Username | @girlinds |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/girlinds |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 16:06 | 888 | -2 |
| 8 Aug 2026, 02:11 | 890 | no change |
| 7 Aug 2026, 08:47 | 890 | first reading |
20 posts held, back to 26 April 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 18 December 2024. An engagement rate over an empty window would be a number about nothing.
635 reactions across 20 posts, in 17 distinct kinds. The most used accounts for 35.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 4997289389148079171 | 224 | 35.3% | |
| 🔥 | 95 | 15.0% | |
| 😁 | 93 | 14.6% | |
| 💅 | 68 | 10.7% | |
| 👍 | 48 | 7.56% | |
| ❤ | 43 | 6.77% | |
| 🥴 | 35 | 5.51% | |
| 🤔 | 9 | 1.42% | |
| 🤣 | 9 | 1.42% | |
| 😢 | 3 | 0.472% | |
| 🥰 | 2 | 0.315% | |
| 🎄 | 1 | 0.157% | |
| 💩 | 1 | 0.157% | |
| 💯 | 1 | 0.157% | |
| 🖕 | 1 | 0.157% | |
| 🗿 | 1 | 0.157% | |
| 🤯 | 1 | 0.157% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 20 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 635reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 26 April 2024 to 18 December 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @girlinds. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 26 April 2024 to 18 December 2024. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
намёки с прошлого года почти сработали, тайный санта подкинул мне гпу-часов 😇
💅51custom 499728938914807917114🔥5😁4👍3❤2🤔2🎄1
может не стоило из маруси людей увольнять
custom 499728938914807917142😁8😢3❤1👍1
в этот четверг обсуждаем ACL в офисе mts ai, приходите послушать онлайн и оффлайн (посмотрите анонс, может найдете там кого-то знакомого 🥹) https://t.me/nlp_mts_ai/15
🔥20
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding very mindfull статья о том, как ускорить генерацию кандидатов для спекулятивного декодинга за счет ранних выходов💻. оба термина уже упоминались вот в этом посте, краткая справка: ранние выходы - это когда мы не ждем, пока модель обработает последовательность всеми своими слоями, ведь ответ может быть получен раньше; спекулятивный декодинг - техни…
🔥12❤3👍1
фотокорреспондент в питерской командировке @incredaria
custom 499728938914807917126❤4💯1
ходят слухи, что PyCon в этом году состоялся только для того, чтобы Никита рассказал о новом публичном датасете, фреймворке для RAG и снова начал вести свой канальчик 🤭 так что теструйте RuRAGE, тюньтесь на MTSBerquad и пишите Никите комментарии, чтобы он чаще рассказывал о том, как работает навык поиска в одном Виртуальном Ассистенте !!
❤10🔥2🥰2
💬 Вчера я выступил на PyCon2024, где зарелизил нашу либу RuRAGE (RuRAGE - Russian RAG Evaluation) для автовалидации generation части в RAG’e и датасет MTSBerquad для SFT LLM на задачу GQA/LFQA. Всё с открытыми лицензиями, пользуйтесь! Спасибо, всем кто слушал и задавал вопросы, было круто, это очень классный опыт 🫶 Пока в RuRAGE мы не подвезли автоматическое создание бустинга, надо разобраться с авто-подбором порого…
🔥13custom 49972893891480791713👍1
Здравствуйте-здравствуйте, мои дорогие любимые хорошие! Сегодня, 23 июля, в облачном пространстве между Azure и AWS происходит опенсорсное полнолуние, которое обрушит на нас волну синтетических датасетов, обновлений моделей у AI-powered стартапов и бесконечный поток информации, от которого захочется везде отписаться. Обратите внимание, уважаемые gpu rich kids, звезды предвещают вам необыкновенную удачу и повышенный …
😁30💅17custom 49972893891480791718❤2
я обычно не влетаю в ранний тюн новых моделек, так складывались обстоятельства, но вот решила поставить быстро Nemo. итог: быстро не получилось :) есть ряд багов или просто странностей в работе модели и токенизатора. тут дисклеймер, я базированный пользователь transformers, с периодическими забегами в unsloth. проблемы были/есть в обеих библиотеках, вот что осталось из насущных 😎 есть предположение, что в базовой в…
❤13👍3🤔3🗿1🤯1
🚀 Уважаемые коллеги, тех, кому интересна математика и машинное обучение, приглашаем Вас принять в неформальном проекте. Минимальное требование - Вы знакомы с Питоном, и у Вас есть несколько часов свободного времени в неделю. (Альтернативно - можно не знать Питон, но хорошо знать теорию групп (в идеале GAP,SAGE).) Задача проекта - применить машинное обучение к теории групп. Целью проекта является написание стат…
🔥12❤1
🙄 🙄 🙄 https://habr.com/ru/companies/mts_ai/articles/825090/
custom 499728938914807917122🔥2
Часто возникает задача разработки Telegram бота для общения с LLM (в т.ч. голосом). Мне надоело писать один и тот же boilerplate код, поэтому я запилил шаблон для Telegram бота. Features: - Настраиваемый inference provider, в примере реализована связка ollama + whisper + coqui TTS - Поддержка локализации на несколько языков. Переведено на Русский, Украинский, Английский, Немецкий, Испанский, Французский, Голландский…
👍14❤3💩1
Showing the 12 most recent of 20 posts we hold for @girlinds. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 16 August 2026 — this entry's latest reading, not the date you are reading this.
“ds girl” (@girlinds), 888 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/girlinds.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.