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Channel

هوش مصنوعی

@DeepMargin

On this record: Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

383subscribers

+3 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-1001374389443
TypeChannel
Username@DeepMargin
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 September 2026
On Telegramt.me/DeepMargin

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

380383381.57 August 2026 — 380 subscribers7 August 2026 — 380 subscribers15 August 2026 — 382 subscribers14 September 2026 — 383 subscribers7 August 202614 September 2026
4 measurements spanning 38 days, net +3. 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 380–383 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Sept 2026, 11:40383+1
15 Aug 2026, 17:43382+2
7 Aug 2026, 12:15380no change
7 Aug 2026, 00:32380first reading

Engagement

20 posts held, back to 21 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 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 26 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

130 reactions across 18 posts, in 7 distinct kinds. The most used accounts for 23.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3023.1%
2620.0%
🤩1813.8%
👌1713.1%
🔥1713.1%
😍1511.5%
👻75.38%

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 130 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 21 May 2026 to 26 July 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

26 Jul 2026, 14:14 UTC121 views9 reactionsread 7 August 2026

تعداد کسایی که آموزش میخوان کمه ، یعنی کسی آموزش ها رو نمیخواد؟

👍81

25 Jul 2026, 21:25 UTC65 viewsread 7 August 2026

سلام به همگی ! مثل قبل آموزش بورس هم براتون بزاریم ؟ anonymous poll آموزش بورس وهوش مصنوعی باهم باشه – 11 👍👍👍👍👍👍👍 85% بله – 2 👍 15% خیر ▫️ 0% 👥 13 people voted so far.

24 Jul 2026, 18:16 UTC319 views6 reactionsread 7 August 2026
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🎙 پادکست : «من الان درد دارم...» 🖤 گاهی آدمی که درد می‌کشد، دنبال توضیح نیست... وقتی در اوج درد هستیم، شنیدن اینکه «طبیعیه»، «درست میشه» یا «فقط صبر کن» همیشه آراممان نمی‌کند،اما... شاید در زندگی هم خیلی وقت‌ها به جای اینکه دنبال یک مسکن موقت باشیم، باید بدانیم بعضی دردها، بخشی از مسیر رسیدن به روزهای بهترند. مثل این داستان ما و حکایت امروز ما در این کشور ... #دیپ_مارجین #پادکست #داستان_کوتاه #داستان_انگیزشی #رو

👍21👌1🤩1😍1

24 Jul 2026, 13:10 UTC130 views6 reactionsread 7 August 2026

🏙🍓 پرامپت تصویر بالا (معماری سورئال با کاراکتر و میوه دلخواه) فقط دو ورودی را تغییر دهید: 👤 Character: شخصیت دلخواه 🍎 Fruit Concept: میوه دلخواه سپس هوش مصنوعی یک شاهکار معماری خلق می‌کند: یک ساختمان فوق‌لوکس به شکل همان میوه، آویزان از بالای برج خلیفه دبی! پرامپت : Create a surreal futuristic architectural world based on these two inputs: Character: [خرگوش] Fruit Concept: [هویج] Use the exact same character and th

1👌1👍1🔥1🤩1😍1

24 Jul 2026, 07:39 UTC165 views7 reactionsread 7 August 2026
Photo

🎨✨ پرامپت ساخت تصاویر کاریکاتوری جذاب با هوش مصنوعی با این پرامپت می‌تونی هر شخصیت دلخواه رو وارد یک دنیای فانتزی و سینمایی کنی؛ جایی که یک آپارتمان فوق‌مدرن با جنگل استوایی ترکیب شده و حیوانات دوست‌داشتنی جنگل در محیط حضور دارند. 🌿🦜🐒 🔥 ویژگی‌ها : ✅ طراحی کاراکتر با سبک کاریکاتوری حرفه‌ای ✅ محیط سه‌بعدی ✅ نورپردازی سینمایی ✅ ترکیب طبیعت، تکنولوژی و فانتزی ✅ مناسب برای Midjourney، Leonardo AI، Flux و مدل‌های تولید ت

🔥21👌1👍1🤩1😍1

23 Jul 2026, 17:04 UTC528 views9 reactionsread 7 August 2026

🤖✨ تکنیک‌های پرامپت‌نویسی؛ کلید طلایی حرف زدن با هوش مصنوعی‌ها 🔹 تکنیک سوم: دادن معمولاً ۳ تا ۵ مثال به هوش مصنوعی (Few-Shot Prompting) در این روش، علاوه بر دادن چند نمونه به هوش مصنوعی، قوانین و معیارهای دقیق هم مشخص می‌کنیم. 🧠 با این کار، هوش مصنوعی فقط مثال‌ها را نمی‌بیند؛ بلکه یاد می‌گیرد طبق یک چارچوب مشخص تحلیل کند و امتیاز بدهد. 📌 مثال: با توجه به نمونه‌های زیر، به نظر مشتری امتیاز بده: قوانین امتیازدهی: 🍽 طعم

3👍2🔥2👌1👻1

23 Jul 2026, 16:45 UTC57 views9 reactionsread 7 August 2026

🤖✨ تکنیک‌های پرامپت‌نویسی؛ کلید طلایی حرف زدن با هوش مصنوعی‌ها 🔹 تکنیک دوم: دادن یک نمونه به هوش مصنوعی (One-Shot Prompting) در این تکنیک، قبل از اینکه از هوش مصنوعی بخواهیم کاری انجام دهد، یک نمونه از ورودی و خروجی مورد انتظار به آن می‌دهیم. 🧠 با این کار، هوش مصنوعی بهتر متوجه می‌شود که دقیقاً چه نوع تحلیلی و چه فرمتی از پاسخ را می‌خواهیم. 📌 مثال: با توجه به نمونه، این نظر را بخوان و بگو مثبت یا منفی است؟ نمونه: «غذ

😍32👌1👍1🔥1🤩1

23 Jul 2026, 16:42 UTC53 views9 reactionsread 7 August 2026

🤖✨ تکنیک‌های پرامپت‌نویسی؛ کلید طلایی حرف زدن با هوش مصنوعی‌ها 🔹 تکنیک اول: پرامپت‌نویسی بدون دادن مثال (Zero-Shot Prompting) در این روش، از هوش مصنوعی می‌خواهیم یک کار را انجام دهد، اما هیچ نمونه یا مثالی به آن نمی‌دهیم. 🧠 هوش مصنوعی با تکیه بر دانش و اطلاعاتی که دارد، درخواست ما را تحلیل کرده و پاسخ تولید می‌کند. 📌 مثال: «این نظر رو بخون و بگو نظر مثبت یا منفیه: غذا خوشمزه بود ولی دیر به دستم رسید» 🤖 پاسخ Gemini: «

2👍2🔥2👌1👻1😍1

21 Jul 2026, 15:52 UTC878 views9 reactionsread 7 August 2026
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📘 کتابچه راهنمای پرامپت‌نویسی 🤖 چطور با هوش مصنوعی حرفه‌ای صحبت کنیم؟ خیلی وقت‌ها مشکل از هوش مصنوعی نیست، از پرامپت ماست! 🎯 در این آموزش یاد می‌گیری: ✅ پرامپت چیست و چرا مهم است؟ ✅ هوش مصنوعی متن را چگونه تحلیل می‌کند؟ ✅ ساختار طلایی پرامپت شامل: 🎭 Role | 🎯 Task | 📖 Context | ⚠️ Constraints | 🎨 Style | 📄 Output Format | 💡 Examples برای هر بخش هم: ✔️ تعریف ساده ✔️ مثال کاربردی ✔️ اشتباهات رایج ✔️ نکات طلایی در پایان

2🔥2👌1👍1👻1🤩1😍1

19 Jun 2026, 05:25 UTC758 views9 reactionsread 7 August 2026
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مثال دوم با رعایت موارد #پرامپت : نقش : تو یک نویسنده حرفه ای داستان های کوتاه در زمینه پندهای مولانا هستی وظیفه : یک داستان کوتاه برام بنویس جزییات یا اطلاعات ورودی : از کتاب های مولانا استفاده کن و یک داستان کوتاه در مورد پس انداز بساز داستان رو با لحن کتابهای مولانا بنویس ساده وروان وقابل فهم برای عموم باشه کلمات وجملات عامیانه ومودبانه باشه برای سن 18 تا 35 مناسب باشه فرمت خروجی : خروجی به صورت یک عکس با پس زمین

🤩32👌1👍1👻1😍1

19 Jun 2026, 04:57 UTC579 views7 reactionsread 7 August 2026
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مثال اول : بدون استفاده از ساختار پرامپت و جمله یه متن کوتاه بهم بده

2👌1👍1👻1🔥1🤩1

Showing the 12 most recent of 20 posts we hold for @DeepMargin. 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.

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.

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.

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 14 September 2026 — this entry's latest reading, not the date you are reading this.

“هوش مصنوعی” (@DeepMargin), 383 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/DeepMargin.

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.