Channel
@deeppavlov
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
335subscribers
-2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001267116842 |
|---|---|
| Type | Channel |
| Username | @deeppavlov |
| Created | 3 December 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 20 August 2026 |
| On Telegram | t.me/deeppavlov |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Aug 2026, 23:22 | 335 | -1 |
| 15 Aug 2026, 00:15 | 336 | -1 |
| 6 Aug 2026, 21:45 | 337 | no change |
| 6 Aug 2026, 13:17 | 337 | first reading |
20 posts held, back to 31 January 2023 — 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 20 August 2024. An engagement rate over an empty window would be a number about nothing.
53 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 60.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 32 | 60.4% | |
| 👍 | 11 | 20.8% | |
| ❤ | 9 | 17.0% | |
| 🤩 | 1 | 1.89% |
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 18 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 53reactions 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 31 January 2023 to 20 August 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.
DeepPavlov 🎅 поможет в цифровой трансформации сотрудникам российского производителя чая и кофе МАЙ 🔥 Сотрудничество команд направлено на реализацию совместного проекта, цель которого - создание прототипа цифрового помощника на основе больших языковых моделей для помощи сотрудникам компании 🤖 Подробнее о проекте читайте по ссылке.
👍1🤩1
3 июля - пройдёт бесплатная онлайн-конференция DataStart по Data Science, машинному обучению и нейросетям 🔥 Мария Молчанова, исследователь DeepPavlov, выступит с докладом: Как получить больше от LLM: Продвинутые стратегии и реальные кейсы ❗️ 🔹Какие задачи можно решать с помощью LLM и что такое промпт 🔹Для чего нужен Prompt Engineering - Таксономия методов промпт инжиниринга 🔹Как ставить эксперименты - Практические …
🔥3
В эти выходные встречаемся на Data Fest 2024 🚀 Ждем вас в воскресенье в зале «Мулен Руж» 🔥 Мария Молчанова, исследователь DeepPavlov, расскажет про разметку данных с помощью экспертов, краудсорсеров и больших языковых моделей🤖 🔹рассмотрим три подхода к организации разметки данных на примере задачи разметки диалогов на сложные лингвистические классы 🔹поделимся методами и инструментами для упрощения процесса разметки…
Научные хакатоны возвращаются вместе с DeepHack! 📌 В рамках хакатона DeepHack.Agents 🤖 вам предстоит создать своего ИИ-ассистента для научных исследований с помощью фреймворка GigaChain Дата: 24-28 апреля Формат: гибридный В последний день хакатона у вас будет возможность пообщаться с экспертами вживую и собраться вместе с другими участниками! 🔥 Регистрироваться можно как готовой командой, так и собрать её на хак…
❤3
Hello everyone! Recently we published an article “Memory enhances ChatGPT performance in multi-hop QA”. The article discusses the approach for ChatGPT memory augmentation and compares it to the task-tuned language model on multi-hop QA tasks. Check out the full article, and don’t hesitate to contact us if you have any questions or comments! #AI #NLP #DeepPavlov #ChatGPT #MHQA
❤3👍3
Hello everyone! We are excited to announce our new article about multi-task models in DeepPavlov. These models allow combining many tasks into one backbone while retaining or even increasing the model quality. Check out the full article, and don’t hesitate to contact us if you have any questions or comments! #AI #NLP #DeepPavlov
🔥4
Hello everyone! We are excited to announce the #release of DeepPavlov 1.3.0 🎅. Here is a sneak peak of what's included in the new release: ◾️ A few-shot text classification model that allows you to operate with a small amount of training data and supports OOS examples. ◾️ A refactored ODQA model optimized to consume less RAM during training. ◾️ A long-anticipated syntax parser and morphotagger. As a reminder, you…
🔥1
📣 TIME FOR NEXT TUTORIAL ON DREAM! Create a distribution with reasoning and API calls performing utilizing OpenAI ChatGPT to think of actions required to handle user requests and to choose the suitable API to use. #AI #NLP #DeepPavlov #GenerativeAI https://clck.ru/35AVb2
Hello everyone, We are back with some fantastic news: a brand new demo of DeepPavlov Library just came out, featuring a lot of new, much needed multilingual models. Be the first to try it out and don’t hesitate to share your feedback with us! As you probably know, the NLP field is highly dynamic, and with the current pace of change we’d like to hear from you to learn how else we could help you solve your everyday n…
🔥2❤1
📣 TIME FOR NEXT TUTORIAL ON DREAM! Discover how to create a generative bot 🤖 with a predefined persona, using the existing Dream ☁️ Persona distribution that utilizes OpenAI ChatGPT. #AI #NLP #DeepPavlov #GenerativeAI https://lnkd.in/eKgdAa3s
🔥3
TIME FOR TUTORIALS ON DREAM 📣 Learn how to create a simple and light-weight 🤖 that specializes in discussing movies and answering factoid questions, utilizing the existing Dream components. #AI #NLP #DeepPavlov #GenerativeAI https://lnkd.in/eMy5xWzZ
🔥4
📣 Calling all #ACL2023 attendees! 🚀 Don't miss our System Demo on the open-source DeepPavlov Dream, designed for building complex, generative AI Assistants. 🤖💬 📌 10 July @ 14:00 Demo Session 2 @ Frontenac Ballroom, Queens Quay&Bay #AI #NLP #DeepPavlov #GenerativeAI
🔥8👍2
Showing the 12 most recent of 20 posts we hold for @deeppavlov. 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 — 472,650 of 1,603,376entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 20 August 2026 — this entry's latest reading, not the date you are reading this.
“DeepPavlov” (@deeppavlov), 335 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/deeppavlov.
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.