Channel
@portfolio_link
On this record: Growth · Engagement · Posts · Citations · Cite this entry
2subscribers
+1 since we began measuring on 7 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004313730964 |
|---|---|
| Type | Channel |
| Username | @portfolio_link |
| Created | 7 September 2026 — measured — dated from the channel’s first post |
| First recorded | 18 September 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 6 times, most recently 3 November 2026 |
| On Telegram | t.me/portfolio_link |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 04:57 | 2 | +1 |
| 18 Sept 2026, 05:22 | 1 | no change |
| 7 Sept 2026, 19:47 | 1 | first reading |
11 posts held, back to 7 September 2026 — 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 11 posts for this entry, the most recent from 15 September 2026. An engagement rate over an empty window would be a number about nothing.
3-Prompt: Medium Shot + High Angle (Bird's-Eye) Kombinatsiya: O'rta plan + yuqoridan pastga qaratilgan rakurs Medium shot of a vintage red sports car from directly above, high-angle bird's-eye view showing the car's silhouette on a city street, overcast diffused daylight creating even, soft shadows, digital art style with clean geometric composition, muted gray asphalt with a striking red car as focal point, minimali…
2-Prompt: Close-up + Eye-Level Kombinatsiya: Yaqin plan (detal) + tabiiy, neytral rakurs Close-up shot of a vintage red sports car's front grille and headlight, eye-level camera angle for a natural, intimate perspective, soft studio lighting highlighting chrome details and reflections, photorealistic style with high detail texture, cool silver and deep red color accents, sleek and refined mood, shot on 85mm lens with…
1-Prompt: Wide Shot + Low Angle Kombinatsiya: Keng kadr + pastdan yuqoriga qaratilgan rakurs (kuch va ulug'vorlik hissi uchun) A vintage red sports car parked on an empty desert highway at sunset, wide shot capturing the full vehicle and surrounding landscape, low-angle view emphasizing the car's powerful stance, dramatic golden-hour lighting with long shadows, photorealistic style, warm orange and deep red color pal…
Rasm Generatsiyasi Uchun Prompt Yozish: Asosiy Elementlar Kirish Text-to-image modellari (Midjourney, DALL-E, Stable Diffusion, Flux va boshqalar) uchun sifatli prompt yozish — bu aniq va tuzilgan tavsif orqali modelga vizual natijani "tushuntirish" san'atidir. Quyida professional promptlarning asosiy tarkibiy qismlari batafsil yoritilgan. 1. Subyekt (Subject) Rasmning markaziy obyekti aniq va konkret tasvirlanishi k…
Prompt turlari va ularning ta'riflari
LLM'lar inson tilini qanday tushunadi: tokenlar va tokenizatsiya jarayoni Til modellari matnni inson kabi harf-harf yoki so'z sifatida emas, balki sonli qiymatlar (vektorlar) ko'rinishida qabul qiladi, chunki neyron tarmoqlar faqat matematik operatsiyalar bilan ishlaydi. Matnni bu sonli formatga aylantirish jarayoni tokenizatsiya deb ataladi va u LLM'larning tilni "tushunishi"ning birinchi va eng muhim bosqichidir. …
2. LLM nima va u qanday maqsadlarda ishlatiladi? LLM (Large Language Model) nima? Large Language Model (LLM) — katta hajmdagi matnli ma'lumotlar asosida o'qitilgan, tabiiy tilni tushunish va generatsiya qilish qobiliyatiga ega bo'lgan chuqur o'rganish (deep learning) modelidir. LLM'lar Transformer arxitekturasiga asoslanadi va milliardlab, hatto trillionlab parametrlardan tashkil topgan bo'lishi mumkin. 1. LLM qa…
Xulosa Ko'rinib turibdiki, sun'iy intellekt endi tor doiradagi ilmiy-tadqiqot mavzusi emas, balki tibbiyot, moliya, ta'lim, transport, sanoat, qishloq xo'jaligi va xavfsizlik kabi deyarli barcha iqtisodiy va ijtimoiy sohalarga integratsiyalashgan universal texnologiyaga aylandi. Bu sohalarning har birida AI samaradorlikni oshirish, xatolarni kamaytirish va qarorlar qabul qilish jarayonini tezlashtirish uchun qo'llan…
1. Sun’iy intellekt haqida Sun’iy intellekt (AI) nima? Sun'iy intellekt (AI - Artificial Intelligence) — bu kompyuter tizimlarining odamlarga xos bo'lgan aqliy vazifalarni bajarish qobiliyatidir: o'rganish, mantiqiy fikrlash, muammolarni hal qilish, tilni tushunish, va qarorlar qabul qilish. Asosiy g'oya An'anaviy dasturlashda inson barcha qoidalarni qo'lda yozadi ("agar X bo'lsa, Y qil"). AI da esa, ayniqsa machine…
VAE (Variational Autoencoder) — yangi ma'lumot namunalarini generatsiya qilish Sora, Runway — text-to-video generatsiya Sizning prompt engineering yo'nalishingizga bevosita aloqador bo'lgan barcha modellar (text-to-image, image-to-video va h.k.) — aynan generativ modellardir. Muhim nuqta: chegara har doim ham qat'iy emas Ba'zi zamonaviy modellar ikkala xususiyatni ham birlashtiradi. Masalan, Diffusion Model asosidagi…
Channel created
Showing the 11 most recent of 11 posts we hold for @portfolio_link. 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.
Named by 1 registered channel — 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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“Portfolio” (@portfolio_link), 2 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/portfolio_link.
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.