现已上线！2025 年 Telegram 研究 — 年度关键洞察 
Artificial Intelligence
前往频道在 Telegram
🔒 Welcome Artificial Intelligence Channel Buy ads: https://telega.io/c/Artificial_Intelligence_COM
显示更多📈 Telegram 频道 Artificial Intelligence 的分析概览
频道 Artificial Intelligence (@artificial_intelligence_com) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 70 419 名订阅者，在 技术与应用 类别中位列第 1 849，并在 印度 地区排名第 4 785 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 70 419 名订阅者。
根据 13 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 1 217，过去 24 小时变化为 69，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 7.35%。内容发布后 24 小时内通常能获得 2.09% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 5 179 次浏览，首日通常累积 1 474 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 10。
- 主题关注点： 内容集中在 learning, linkedin, linux, udemy, 040k| 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：
“🔒 Welcome Artificial Intelligence Channel
Buy ads: https://telega.io/c/Artificial_Intelligence_COM”
凭借高频更新（最新数据采集于 14 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。
70 419
订阅者
+6924 小时
+2577 天
+1 21730 天
帖子存档
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LLMs Intuition
01 - Introduction to LLMs
02 - Ingredients of an LLM
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04 - How LLMs generate text
05 - Inside an LLM Under the Hood
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07 - LLM Context Window
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📱Artificial Intelligence and Machine Learning
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📂 Full description
Master the art of efficient data processing with this advanced PySpark course designed for data engineers. Instructor Ameena Ansari shows you the essentials of optimizing the data cleaning process and defining schemas to streamline ingestion at scale. Explore various data formats and compression techniques to ensure seamless performance, even with massive datasets. By the end of this course, you'll have the tools and skills you need to transform and ingest high-quality data using PySpark pipelines that are both scalable and efficient.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that youll likely encounter in the workplace. Check out “Using GitHub Codespaces" with this course to learn how to get started.
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🔅 High-Performance PySpark: Advanced Strategies for Optimal Data Processing
🌐 Author: Ameena Ansari
🔰 Level: Advanced
⏰ Duration: 1h 22m
🌀 Discover techniques for optimizing data cleaning, selecting efficient data formats, minimizing shuffling and skew, and performing high-performance data processing at scale.📗 Topics: Data Pipelines, PySpark, Data Processing 📤 Join Artificial Intelligence and Machine Learning for more courses
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