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AI & Deep Learning

AI & Deep Learning

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All about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML Follow for quality content amid all the noise in #AI.

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πŸ“ˆ Analytical overview of Telegram channel AI & Deep Learning

Channel AI & Deep Learning (@deeplearning005) in the English language segment is an active participant. Currently, the community unites 10 579 subscribers, ranking 11 555 in the Technologies & Applications category and 38 024 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 10 579 subscribers.

According to the latest data from 28 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 263 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 13.50%. Within the first 24 hours after publication, content typically collects 2.78% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 427 views. Within the first day, a publication typically gains 294 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
  • Thematic interests: Content is focused on key topics such as developer, openai.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œAll about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML Follow for quality content amid all the noise in #AI.”

Thanks to the high frequency of updates (latest data received on 29 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

10 579
Subscribers
+924 hours
+907 days
+26330 days
Posts Archive
Do you know how to run LLM on your local machine?
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