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AI & Deep Learning

AI & Deep Learning

前往频道在 Telegram

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

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📈 Telegram 频道 AI & Deep Learning 的分析概览

频道 AI & Deep Learning (@deeplearning005) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 10 574 名订阅者,在 技术与应用 类别中位列第 11 565,并在 印度 地区排名第 38 093

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 10 574 名订阅者。

根据 27 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 266,过去 24 小时变化为 2,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 13.41%。内容发布后 24 小时内通常能获得 2.62% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 417 次浏览,首日通常累积 277 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 6
  • 主题关注点: 内容集中在 developer, openai 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
All about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML Follow for quality content amid all the noise in #AI.

凭借高频更新(最新数据采集于 28 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

10 574
订阅者
+224 小时
+827
+26630
帖子存档
https://auto-rt.github.io In this paper, we propose AutoRT, a system that leverages existing foundation models to scale up th
https://auto-rt.github.io In this paper, we propose AutoRT, a system that leverages existing foundation models to scale up the deployment of operational robots in completely unseen scenarios with minimal human supervision. AutoRT leverages vision-language models (VLMs) for scene understanding and grounding, and further uses large language models (LLMs) for proposing diverse and novel instructions to be performed by a fleet of robots

GitHub - black-forest-labs/flux: Official inference repo for FLUX.1 models https://github.com/black-forest-labs/flux

Final rankings (as of July 17, 2024): 1️⃣ OpenAI (1,287) 2️⃣ Anthropic (1,271) 3️⃣ Google (1,267) 4️⃣ DeepSeek (1,222) 5️⃣ Meta (1,207) 6️⃣ Mistral (1,157)

A very nice video, must watch if you are into Machine Learning Algorithms. ====== The moment we stopped understanding AI [AlexNet] https://www.youtube.com/watch?v=UZDiGooFs54

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