Telegram RegisterThe public register of Telegram

Channel

IML — конференция по применению ML в проектах

@iml_conf

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

143subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002052314947
TypeChannel
Username@iml_conf
DescriptionОбучение, применение и сопровождение моделей в продакшене. Даты следующей конференции анонсируем позднее, оставайтесь на связи. О конференции: https://jrg.su/IMLconf Чат конференции: @iml_chat Саппорт: @JUGruSupport
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/iml_conf

Growth

1437 August 2026 — 143 subscribers8 August 2026 — 143 subscribers7 August 20268 August 2026
2 measurements spanning 2 days. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 142–144 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 21:31143no change
7 Aug 2026, 02:45143first reading

Engagement

18 posts held, back to 17 May 2025the 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 18 posts for this entry, the most recent from 4 May 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
129
Links
138

Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

30 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1550.0%
🔥1136.7%
👌26.67%
👍13.33%
🤡13.33%

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 8 of the 18 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 30reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 17 May 2025 to 4 May 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

4 May 2026, 14:42 UTC789 views6 reactionsread 8 August 2026
Photo

IML не исчез — он стал частью SmartData Если вы были на IML, то знаете: мы всегда говорили про ML через практику и реальные системы. Этот подход никуда не делся — просто изменилась форма. Теперь ML — часть конференции SmartData: мы смотрим на него не изолированно, а в связке с данными, инфраструктурой и продакшеном. 📅 23–24 сентября, Москва + онлайн SmartData — про то, как все это реально устроено: от хранилищ и

🔥51

28 Apr 2026, 16:00 UTC193 views2 reactionsread 8 August 2026
Photo

Полгода назад мы разбирались, как повысить личную продуктивность разработчика. А сейчас уже думаем над новыми метриками, чтобы измерять влияние агентов на весь процесс Если вы тоже обнаружили, что ваши новые коллеги — не люди, а агенты — подключайтесь ко второму сезону AI Dev Conf — 21 мая, онлайн Для кого конференция: Individual Contributors (Dev, QA, DevOps, SA/BA, etc.) — Какие практики и инструменты брать в ра

🔥1🤡1

9 Feb 2026, 16:54 UTC262 viewsread 8 August 2026

#видеозаписи #MondayLearning Открываем новую видеозапись: Обсуждение «Missing Parts in ML» 😉 YouTube | 📺 VK Видео

19 Jan 2026, 15:32 UTC282 viewsread 8 August 2026

#видеозаписи #MondayLearning Открываем новую видеозапись доклада: Никита Романов — CLIP + LLM в проде: мультимодальный «Поиск по фото» для маркетплейса 😉 YouTube | 📺 VK Видео Скачать презентацию с сайта IML

12 Jan 2026, 15:25 UTC244 viewsread 8 August 2026

#видеозаписи #MondayLearning Открываем новую видеозапись доклада: Егор Колодин, Дарья Хомич — GigaEmbeddings 😉 YouTube | 📺 VK Видео

29 Dec 2025, 14:04 UTC234 viewsread 8 August 2026

#видеозаписи #MondayLearning Открываем новую видеозапись доклада: Роман Песков — LLM Gateway в Циан: наводим порядок в работе с языковыми моделями 😉 YouTube | 📺 VK Видео Скачать презентацию с сайта IML

15 Dec 2025, 15:39 UTC245 viewsread 8 August 2026

#видеозаписи #MondayLearning Открываем новую видеозапись доклада: Иван Максимов — Discovery-рекомендации товаров, которые работают. Опыт Яндекс Маркета 😉 YouTube | 📺 VK Видео

1 Dec 2025, 15:48 UTC279 viewsread 8 August 2026

#видеозаписи #MondayLearning Открываем новую видеозапись доклада: Евгений Косарев — Обучение Mixture of Experts в GigaChat 😉 YouTube | 📺 VK Видео Скачать презентацию с сайта IML

10 Nov 2025, 15:22 UTC266 views1 reactionsread 8 August 2026

#видеозаписи #MondayLearning Начинаем публиковать доклады IML 2025 Александр Ледовский — Как мы ранжируем платные объявления в поиске и ленте рекомендаций 😉 YouTube | 📺 VK Видео

👍1

5 Nov 2025, 15:19 UTC291 viewsread 8 August 2026
Photo

AI-разработка без иллюзий: что работает, а что нет? Бесплатная онлайн-конференция AI-Development Conf — 8 ноября, 11:00–15:00. AI уже умеет генерировать код, тесты и архитектуру, но как это работает в реальных проектах? На конференции покажем все без прикрас: реальные кейсы, инструменты и подходы, которые помогают ускорить работу. В программе: 🔹 11:00 — Как копилот генерит код? — Claude Code, Cursor, Explyt․ai, C

3 Sept 2025, 13:25 UTC206 views2 reactionsread 8 August 2026
Forwarded from @cpprussia_channel

#подкаст Pure Virtual Cast c Максимом Масловым — сегодня в 19:30 Поговорим про разработку AI-процессоров и GPGPU. Задавайте вопросы Максиму в комментариях прямо под этим постом — мы озвучим их на стриме. 😉 Подключайтесь к нам на YouTube

🔥2

3 Sept 2025, 13:25 UTC283 viewsread 8 August 2026

Про AI и разработку чипов — в подкасте Программного комитета нашей конференции C++ Russia Гостем выпуска станет Максим Маслов, GPGPU AI Architect, написавший на Хабре две статьи о том, как в Байкал Электроникс начали разрабатывать GPGPU-чип для ИИ.

Showing the 12 most recent of 18 posts we hold for @iml_conf. 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.

Citation-graph rank

Citation-graph rank — 729,341 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Cite this entry

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“IML — конференция по применению ML в проектах” (@iml_conf), 143 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/iml_conf.

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.