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Channel

دستاوردهای یادگیری عمیق(InTec)

@pytens

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

9,802subscribers

+52 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001206308282
TypeChannel
Username@pytens
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/pytens

Growth

9,7509,8029,7766 August 2026 — 9,750 subscribers6 August 2026 — 9,750 subscribers7 August 2026 — 9,755 subscribers10 August 2026 — 9,763 subscribers12 August 2026 — 9,777 subscribers16 August 2026 — 9,779 subscribers19 August 2026 — 9,790 subscribers26 August 2026 — 9,794 subscribers29 August 2026 — 9,790 subscribers1 September 2026 — 9,801 subscribers4 September 2026 — 9,802 subscribers6 August 20264 September 2026
11 measurements spanning 29 days, net +52. 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 9,742–9,810 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Sept 2026, 23:599,802+1
1 Sept 2026, 00:249,801+11
29 Aug 2026, 06:439,790-4
26 Aug 2026, 00:179,794+4
19 Aug 2026, 01:249,790+11
16 Aug 2026, 03:179,779+2
12 Aug 2026, 21:589,777+14
10 Aug 2026, 03:129,763+8
7 Aug 2026, 07:559,755+5
6 Aug 2026, 12:309,750no change
6 Aug 2026, 12:259,750first reading

Engagement

21 posts held, back to 30 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 36 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.9%
avg views ÷ 9,802 subscribers
Avg views / post
1,260
1 post measured
Reaction rate
2.22%
reactions ÷ views · ER floor
Posts in window
1
of 21 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 18 August 2026
Posts held21 (30 May 202618 August 2026)
Views total1,260
Reactions total28
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 05:02 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
6s
Average length
6s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

389 reactions across 21 posts, in 2 distinct kinds. The most used accounts for 58.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
22758.4%
👍16241.6%

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 21 of the 21 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 389 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 30 May 2026 to 18 August 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

18 Aug 2026, 21:05 UTC≈1,260 views28 reactionsread 29 August 2026
Forwarded from @per3onnel

چون به این علاقه داشتید و share کردید (بیش از ۴۰۰ بار)‌ گفتم براتون یک آموزش دیگه هم بذارم؛ این یکی برای اون‌هایی که به deep learning علاقه‌دارند تازه شروع کردند یا می‌خوان شروع کنند و مباحث زیاد هست و پیش‌نیازها بیشتر. Carnegie Mellon University Deep Learning من این کانال رو چندسالی هست که خودم دنبال می‌کنم؛ همینجا بگم که بهترین لهجه انگلیسی توی این کانال نیست اما یک نگاهی به ویدئوهای اخیرشون برای دوره Intro to d

25👍3

2 Aug 2026, 09:27 UTC≈2,500 views21 reactionsread 29 August 2026
Forwarded from @per3onnel

در ادامه پروسه‌های باگ یابی من از شرکتهای هوش مصنوعی. الان متوجه شدم چرا خیلی از بچه‌ها میگن که فقط با Claude می‌تونند کد بزنند؛ من یک باگ جدید پیدا کردم. Qwen, Grok, ChatGpt, GLM5.2 رو تست کردم؛ این مدل‌های پارسر ضعیفتری دارند. اول اینکه بنظر میاد همشون کد رو هم مثل markdown باهاش برخورد می‌کنند و پارس می‌کنند چرا ؟ حجم زیادی کد بهشون دادم با پرامپت سختگیرانه (خیلی بی‌ادبی هست وگرنه میذاشتم) و همشون چون رو حالت سخ

👍129

1 Aug 2026, 19:11 UTC≈2,330 views7 reactionsread 29 August 2026
Forwarded from @per3onnel

زده من اینکار رو کردم بعدش دیگه چه کارهایی میشه کرد باهاش ؟ هیچی تلاش کردی چندتاش رو بهم وصل کنی ببینی چی میده یا اصلا چطوری باید کد بزنی برای اتصال چندتاش به هم دیگه ؟ سریعتر میشه؛ کندتر میشه ؟ حالا bottleneck کجاس ؟ اگر مدل بزرگتر باشه چی میشه ؟ اصلا چطوری میشه چندتاش رو بهم وصل کرد (کارت شبکه که نداره) مدل P4 که روی RiscV هست چطوری کار می‌کنه ؟ اگر همه این کارها رو کردی و جواب همش رو درست متوجه شدی یک سری به این

👍61

31 Jul 2026, 10:29 UTC≈2,540 views24 reactionsread 29 August 2026
Forwarded from @per3onnel

لطفا ایشون رو برای همکاری استخدام کنید AI developer runs 28.9-million-parameter model on $10 ESP32-S3 microcontroller — uses Google's Per-Layer Embeddings technique, stores table on 16MB Flash memory اگر انقدر دیوونه هست که جنین کدی رو توی وقت‌های خالی خودش بزنه؛ ببین توی کار چه کدهایی میزنه. پینوشت: خروجیش ۱ توکن در ثانیه هست مهم کاری هست که کرده و کدی که زده

👍213

28 Jul 2026, 08:19 UTC≈2,960 views14 reactionsread 29 August 2026
Forwarded from @per3onnel

Claude Leak داستان چیه ؟ یک اتفاق تکراری دیگه. هرکسی روی Calude چت خودش رو لینک Share براش گرفته چت بصورت کامل عمومی شده. یک نفر هم اومده توی گوگل زده site:claude.ai/share و دیده بله گوگل تمام و کمال همرو ایندکس کرده. که خب یعنی خیلی شرکت‌های دیگه هم اینکار رو کردند و البته خیلی جاهای دیگه هم دیتاهای مهم رو خوندند. خیلی از بیزینس‌ها ابراز نگرانی کردند و گوگل نتایج رو حذف کرد و گفته میشه که کلاد هم باگ رو برطرف کرد

👍131

26 Jul 2026, 12:21 UTC≈2,880 views20 reactionsread 29 August 2026
Forwarded from @per3onnel

این رو معرفی کنم OKF (by google) وقتی مدل‌ها با کانتکست‌های بالای 128K و حالا بیش از 1M استاندارد شدند واقعا هزینه توسعه و نگهداری سیستم‌های RAG برام قابل درک نبود. توی یک سری از ابزارهای چت شما می‌تونید مشخص کنید چت با چه پیام‌هایی از قبل مشخص شده‌ای شروع بشه و ماهم از همین تکنیک استفاده میکردیم. مثلا برای نیروهای تازه وارد به شرکت؛ شماتیک دیتابیس رو توی چت اول میذاشتیم و نیرو همزمان با خوندن کدها اگر سوالی روی دیت

👍155

14 Jul 2026, 11:42 UTC≈3,200 views19 reactionsread 29 August 2026
Forwarded from @per3onnel

مدل‌های MoE خیلی جذابتر از مدل‌های Dense هستند بنظرم چون می‌تونی یک مدل خیلی بزرگتر رو روی یک GPU خیلی کوچکتر با سرعت بالا اجرا کنی مثل : https://telegram.me/per3onnel/263 یک سری افراد نشستند و همین کار رو برای GLM.5-2 با فشرده سازی و اپیتیمایز کردن بسیار انجام دادند بطوری که طبق ادعا خودشون مدل 774 میلیارد پارامتری رو روی سیستم با 25GB رم و بدون نیاز به GPU اجرا کردند (همه چیز روی C نوشته شده) بطور خیلی ساده کاری

17👍2

14 Jul 2026, 09:25 UTC≈3,240 views21 reactionsread 29 August 2026

یک پستی از دوست و همکار قدیمی توی لینکدین دیدم راجب یک کتابی که درحال نوشته شدن و تکمیل هست مخصوص کسانی که به Deep Learning + Rust علاقمند هستند گفتم اینجا هم به اشتراک بذارم Linked In شخصا درحال خالی کردن وقت برای خوندنش هستم چون موارد جالبی پوشش داده شده مثلا اینکه بدون نیاز به سیستم‌عامل بتونید کار دیپ‌لرنینگ انجام بدید چیزی نیست که روی فریمورک‌ها و پایتون و ... آموزش داده بشه

16👍5

12 Jul 2026, 15:01 UTC≈2,170 views14 reactionsread 29 August 2026
Forwarded from @per3onnelPhoto

LLM قراره جای برنامه نویس‌هارو بگیره ؟ من که کدم رو + دستورالعمل ریفکتور دادم تا برام تمیز کنه و خروجی که توی تصویر هست نصف باگ‌های مدل‌های LLM رو من درآوردم باید بهم هزینه پرداخت کنند واقعا پینوشت: تازه ۳۵ دقیقه هم طول کشید. خودم میزدم ۲۰ دقیقه‌ای تموم می‌شد.

👍113

12 Jul 2026, 14:13 UTC≈2,880 views12 reactionsread 29 August 2026

Needle: We Distilled Gemini Tool Calling into a 26M Model این مدل برای تخصصی برای tool calling ساخته شده؛ من جایگزین مدل ۴ میلیارد پارامتری کردم و همچنان به درستی از ابزارهایی که داشتم استفاده می‌کنه. البته ابزارهای من ساده و قدیمی هست (خیلی وقت هست از این پروژه استفاده نکردم) اما بنظرم مدلی هست که ارزش تست کردن داشته باشه واقعا؛ اگر برای tool calling نیاز به مدل دارید یک تستی هم روی این انجام بدید اما بیشتر از too

👍102

6 Jul 2026, 17:10 UTC≈3,000 views12 reactionsread 29 August 2026
Forwarded from @per3onnel

95% of enterprise AI deployments fail to deliver value در یک حرکتی چندتا از این شرکت‌های AI فروش داخلی (کاسبان تحریم) روی موج‌های اخیر درحال تلاش برای خوروندن LLM به شرکت‌های دیگر هستند. شرکت‌هایی که همینطوری بخاطر تحریم؛ جنگ؛ قطعی اینترنت و تعطیلی به زور سرپا موندند. برای همین خواستم دوتا مورد رو یادآوری کنم: اولین مورد گزارش MIT روی میزان سودآوری AI (که ۹۵٪ میزان بازگشت 0 داشتند) ‌legal.io مورد دوم؛ تجربه شخصی

👍93

25 Jun 2026, 18:06 UTC≈3,990 views13 reactionsread 29 August 2026
Forwarded from @per3onnel

نسل بعدی مدل‌ها بنظرم خیلی بهتر خواهند شد : Qwen AgentWorld بنظرم این حرکت در راستای JEPA خواهد بود و این Gap بین LLM و JEPA رو برای مدتی می‌پوشونه تا نتایج مدل‌های بر پایه JEPA خیلی بهتر بشه.

10👍3

Showing the 12 most recent of 21 posts we hold for @pytens. 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.

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.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

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.

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.

Machine Learning | یادگیری ماشین
@MachineLearning_ir · 33,936
Telegram ranks this channel #3 of 90 here — alongside 89 others — read 3 September 2026
هوش مصنوعی | AI
@AI_University · 32,541
Telegram ranks this channel #24 of 83 here — alongside 82 others — read 5 September 2026
عصر گویش | هوش مصنوعی
@asrgooyeshpardaz · 100,360
Telegram ranks this channel #29 of 89 here — alongside 88 others — read 24 August 2026
پیشنهادهایی برای #اپلای #applyabroad
@safarnamee7 · 33,598
Telegram ranks this channel #45 of 88 here — alongside 87 others — read 4 September 2026
Dr Ahmadian
@drmjahmadian · 90,984
Telegram ranks this channel #45 of 93 here — alongside 92 others — read 17 August 2026
ApplyKite
@ApplyIR2UK · 37,816
Telegram ranks this channel #48 of 88 here — alongside 87 others — read 31 August 2026
اخبار ویزای آمریکا
@pargarvisa · 44,079
Telegram ranks this channel #60 of 77 here — alongside 76 others — read 28 August 2026
FaraDars | فرادرس‌‎
@faradars · 61,315
Telegram ranks this channel #61 of 87 here — alongside 86 others — read 22 August 2026
هوش مصنوعی در پژوهش
@AI_in_Research · 241,277
Telegram ranks this channel #66 of 92 here — alongside 91 others — read 19 August 2026
مکتب‌خونه | Maktabkhooneh
@maktabkhooneh · 34,529
Telegram ranks this channel #69 of 90 here — alongside 89 others — read 3 September 2026
مجله هوش مصنوعی
@HomeAI · 32,769
Telegram ranks this channel #70 of 91 here — alongside 90 others — read 5 September 2026
اخبار آلمان با پرگار
@GermanyPargar · 34,534
Telegram ranks this channel #73 of 76 here — alongside 75 others — read 3 September 2026
جادی پایتون | Jadi Python fans
@jadi_fans · 43,624
Telegram ranks this channel #73 of 75 here — alongside 74 others — read 28 August 2026
Data Science | علم داده
@DataScience_ir · 49,625
Telegram ranks this channel #74 of 92 here — alongside 91 others — read 25 August 2026
کنکور ارشد کامپیوتر
@Konkurcomputer · 50,687
Telegram ranks this channel #74 of 88 here — alongside 87 others — read 25 August 2026
Canada Dream
@Canada_channel · 38,910
Telegram ranks this channel #75 of 79 here — alongside 78 others — read 31 August 2026
رویدادهای دانشجویی تهران
@roydad_daneshjoo · 56,138
Telegram ranks this channel #78 of 91 here — alongside 90 others — read 23 August 2026
آموزش برنامه نویسی و هوش‌مصنوعی | Max academy
@max_academy · 70,815
Telegram ranks this channel #80 of 83 here — alongside 82 others — read 20 August 2026
ApplyAbroad | هلدینگ پرگار
@pargarwiki · 131,814
Telegram ranks this channel #80 of 90 here — alongside 89 others — read 19 August 2026
اپلای‌فور‌فری
@applyforfree · 33,814
Telegram ranks this channel #81 of 81 here — alongside 80 others — read 4 September 2026
برنامه نویسی | Programming
@Azad_Developers · 38,277
Telegram ranks this channel #82 of 88 here — alongside 87 others — read 31 August 2026
جادی | Jadi
@jadivarlog · 102,441
Telegram ranks this channel #82 of 94 here — alongside 93 others — read 15 August 2026
جزوه گاه 📚
@JOZVEGAH · 97,567
Telegram ranks this channel #87 of 87 here — alongside 86 others — read 16 August 2026
جاب‌ویژن | Jobvision | استخدام | کاریابی
@jobvision · 59,223
Telegram ranks this channel #90 of 98 here — alongside 97 others — read 22 August 2026

This channel appears in 24 seed channels' Telegram-generated recommendation lists 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 4 September 2026 — this entry's latest reading, not the date you are reading this.

“دستاوردهای یادگیری عمیق(InTec)” (@pytens), 9,802 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/pytens.

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.