1 Mar 2026, 13:31 UTC564 views2 reactionsread 14 August 2026
🔥تو این ریپو با الگوریتم های هوشمصنوعی و اینکه هر مدل چجوری کار میکنن آشنا می شوید https://github.com/eriklindernoren/ML-From-Scratch @ai4free
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Channel
AI for free
@ai4free
On this record: Growth · Engagement · Reactions · Posts · Telegram's recommendations · Cite this entry
547subscribers
-1 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001434714747 |
|---|---|
| Type | Channel |
| Username | @ai4free |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 1 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 1 September 2026 |
| On Telegram | t.me/ai4free |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Sept 2026, 11:47 | 547 | -1 |
| 15 Aug 2026, 20:26 | 548 | no change |
| 14 Aug 2026, 20:15 | 548 | first reading |
Engagement
20 posts held, back to 8 December 2025 — 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 page of 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 1 March 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
29 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 82.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 24 | 82.8% | |
| ❤ | 3 | 10.3% | |
| 🔥 | 2 | 6.90% |
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 29 reactions 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 8 December 2025 to 1 March 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
24 Feb 2026, 13:33 UTC671 views2 reactionsread 14 August 2026
♦️نکتهبرداری خودکار از جلسات و کلاسهای آنلاین! 🔹️اگه تو جلسات آنلاین حواستون پرت میشه یا نمیرسید همه چیزو یادداشت کنید، Tactiq کارتون رو راحت کرده! ❓ چی کار میکنه؟ 🔹️متن کامل جلسه رو براتون مینویسه! 🔹️خلاصهی مهمترین نکات رو استخراج میکنه. 🔹️حتی مشخص میکنه کی، چی گفته! 🔹️توی هر ماه 10 جلسه رایگان میتونید استفاده کنید. ❓ چطور نصبش کنیم؟ 1️⃣اکستنشن Tactiq رو روی مرورگر کروم نصب کنید. 2️⃣به جلسه آنلاین خودت…
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21 Feb 2026, 13:50 UTC504 views3 reactionsread 14 August 2026
🔥یکی از ابزارهای جدید گوگل برای افزایش سرعت برنامهنویسی Google Codewikiه. کافیه لینک ریپوی GitHub رو بذاری، بعدش کل پروژه رو تبدیل میکنه به یه راهنمای تعاملی کامل. دیاگرام می سازه، معماری رو توضیح میده،dependencyها رو باز میکنه، مهمتر اینکه میتونی با اون ریپازیتوری با کمک جمینای چت کنی و walkthrough بگیری. https://codewiki.google/github.com/openclaw/openclaw @ai4free
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18 Feb 2026, 14:03 UTC≈1,070 views1 reactionsread 14 August 2026
🔥ریاضیات کاربردی در زمینه ی هوش مصنوعی https://www.youtube.com/playlist?list=PLUUWXLTGwBsp1qOEqrZ-FBsBI4IkUx2_s @ai4free
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14 Feb 2026, 13:16 UTC425 views1 reactionsread 14 August 2026
🔥Wanna learn how to fine-tune a Small Vision Language Model for your task? https://github.com/Liquid4All/cookbook/blob/main/finetuning/notebooks/sft_for_vision_language_model.ipynb @ai4free
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11 Feb 2026, 14:15 UTC414 views1 reactionsread 14 August 2026
🔥 DeepSeek-OCR 2 is out 🔥 👉DeepSeek-AI announced the new version of its powerful SOTA OCR. A new architectural approach with the potential to achieve genuine 2D reasoning. Codes & weights💙 👉Review https://t.ly/gX4bX 👉Paper https://arxiv.org/pdf/2601.20552 👉Repo github.com/deepseek-ai/DeepSeek-OCR-2 @ai4free
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6 Feb 2026, 13:00 UTC498 views1 reactionsread 14 August 2026
کانال یوتوب Umar Jamil یکی از بهترین کانالهای آموزش مباحث بروز و پیچیده یادگیری عمیق هست. به نظرم تعداد سابسکرایبرها و ویوهاش اصلا در حد محتواش نیست. فقط نگاه کن ویدئوهای آخر کانالش چه آموزشهایی هست: - پیادهسازی Vision Language Model با پایتورچ از صفر - تفسیرپذیری در ماشین لرنینگ - شبکه KAN - و ... امروز یک ویدئوی 7 ساعته از آموزش و پیادهسازی Flash Attention منتشر کرده! فلش اتنشن میدونید چیه؟ یک الگوریتم بهینه…
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2 Feb 2026, 13:45 UTC602 views2 reactionsread 14 August 2026
❗️جوابها رو مستقیم از ChatGPT کپی نکن. نوشتههای ChatGPT خیلی راحت قابل شناسایی هستن. به جای این کار، از این دستورها استفاده کن و نتیجه شگفتانگیزش رو ببین. 1. متن رو مثل یک ویراستار حرفهای بازنویسی میکنه؛ طبیعی، روان و بدون ساختار خشک “Act as a professional human-writing editor. Rewrite the following text to sound natural, human, and conversational. Remove robotic phrasing, stiff structure, and unnatural flow w…
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24 Jan 2026, 14:34 UTC460 views1 reactionsread 14 August 2026
اگه میخواید درباره Multimodal LLM بیشتر بدونید، بلاگ زیر از آقای Sebastian Raschka رو بررسی کنید. هم رهیافت پایهای رو گفته و هم مقالههای بروز ازجمله Llama 3.2 رو تشریح کرده. لینک وبلاگ Multimodal LLM https://magazine.sebastianraschka.com/p/understanding-reasoning-llms @ai4free
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17 Jan 2026, 14:32 UTC684 views1 reactionsread 14 August 2026
🔥دانشگاه carnegie mellon که رنک بالایی در ماشین لرنینگ داره ، یه کورس ارائه داده راجع deploy کردن مدلهای ماشین لرنینگ توی production در این دوره از صفر تا صد با نحوه ساخت، استقرار، اطمینان و نگهداری (build, deploy, assure, and maintain) از محصولات نرمافزاری با مدلهای ماشین لرنینگ آشنا میشوید این یه دوره کامله که شامل کد، اسلاید و مقاله ها است. mlip-cmu.github.io @ai4free
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9 Jan 2026, 14:45 UTC560 views1 reactionsread 14 August 2026
🔥دانشگاه Stanford برنامهی واقعی و رسمی AI / Machine Learning خودش را کامل روی YouTube منتشر کرده. نه یک دورهی تبلیغاتی. نه «هوش مصنوعی برای عموم». 📌 این همان محتوایی است که افرادی را تربیت میکند که امروز روی مدلهای مرزی (Frontier Models) کار میکنند. 📚 چه چیزهایی عمومی شده؟ Deep Learning (CS230) Transformers & LLMs (CME295) Language Models from Scratch (CS336) ML from Human Feedback (CS329H) Computer Vision …
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5 Jan 2026, 15:45 UTC499 views1 reactionsread 14 August 2026
۱۰ ریپازیتوری گیتهاب برای یادگیری کامل AI Agent 1. Hands-On Large Language Models کتاب کدهای کامل از پایه تا فاینتیون LLM 🔗 https://lnkd.in/dxaVF86w 2. AI Agents for Beginners دوره رایگان ۱۱ قسمتی برای ساخت اولین ایجنت 🔗 https://lnkd.in/dHvTmJnv 3. GenAI Agents آموزش و کد برای ساخت ایجنتهای مولد 🔗 https://lnkd.in/dEt72MEy 4. Made with ML یادگیری طراحی، ساخت، دیپلوی و بهتر کردن پروژههای ML 🔗 https://lnkd.in/d2…
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Showing the 12 most recent of 20 posts we hold for @ai4free. 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
عرفان طهماسبی
@Erfancnl · 109,538
Telegram ranks this channel #78 of 88 here — alongside 87 others — read 14 August 2026
@Erfancnl · 109,538
Telegram ranks this channel #78 of 88 here — alongside 87 others — read 14 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 1 September 2026 — this entry's latest reading, not the date you are reading this.
“AI for free” (@ai4free), 547 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/ai4free.
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.