Artificial Intelligence - ChatGPT & AI Tech News
Welcome to ChatGPT & AI Tutorials! 🤖 Unlock the power of Artificial intelligence with clear and concise guides. From basics to advanced techniques, you'll get free Resources to learn AI. 🚀Artificial Intelligence 🚀Machine Learning 🚀Tech News 🚀ChatGPT
显示更多📈 Telegram 频道 Artificial Intelligence - ChatGPT & AI Tech News 的分析概览
频道 Artificial Intelligence - ChatGPT & AI Tech News (@aisigma) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 19 494 名订阅者,在 技术与应用 类别中位列第 6 899,并在 印度 地区排名第 22 331 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 19 494 名订阅者。
根据 20 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 207,过去 24 小时变化为 -3,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 5.47%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 0 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 0。
- 主题关注点: 内容集中在 learning, openai, phi, capability, llamafile 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 to ChatGPT & AI Tutorials! 🤖 Unlock the power of Artificial intelligence with clear and concise guides. From basics to advanced techniques, you'll get free Resources to learn AI.
🚀Artificial Intelligence
🚀Machine Learning
🚀Tech News
🚀Ch...”
凭借高频更新(最新数据采集于 21 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。
数据加载中...
| 日期 | 订阅者增长 | 提及 | 频道 | |
| 21 六月 | +1 | |||
| 20 六月 | +1 | |||
| 19 六月 | 0 | |||
| 18 六月 | +2 | |||
| 17 六月 | 0 | |||
| 16 六月 | +10 | |||
| 15 六月 | +11 | |||
| 14 六月 | +10 | |||
| 13 六月 | +36 | |||
| 12 六月 | +4 | |||
| 11 六月 | +6 | |||
| 10 六月 | +9 | |||
| 09 六月 | +8 | |||
| 08 六月 | 0 | |||
| 07 六月 | +9 | |||
| 06 六月 | +5 | |||
| 05 六月 | +11 | |||
| 04 六月 | +12 | |||
| 03 六月 | +12 | |||
| 02 六月 | +5 | |||
| 01 六月 | 0 |
| 2 | Claude prompts to optimize your GitHub profile 🚀
React ❤️ For More | 1 184 |
| 3 | AI/ML roadmap
Topic: Mathematics
- Subtopic: Linear Algebra
- Vectors, Matrices, Eigenvalues and Eigenvectors
- Subtopic: Calculus
- Differentiation, Integration, Partial Derivatives
- Subtopic: Probability and Statistics
- Probability Theory, Random Variables, Statistical Inference
Topic: Programming
- Subtopic: Python
- Python Basics, Libraries like NumPy, Pandas, Matplotlib
Topic: Machine Learning
- Subtopic: Supervised Learning
- Linear Regression, Logistic Regression, Decision Trees
- Subtopic: Unsupervised Learning
- Clustering, Dimensionality Reduction[1](https://i.am.ai/roadmap)
- Subtopic: Neural Networks and Deep Learning
- Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks
Topic: Specializations
- Subtopic: Natural Language Processing
- Text Preprocessing, Topic Modeling, Word Embeddings
- Subtopic: Computer Vision
- Image Processing, Object Detection, Image Segmentation
- Subtopic: Reinforcement Learning
- Markov Decision Processes, Q-Learning, Policy Gradients
Join for more: https://t.me/machinelearning_deeplearning | 1 210 |
| 4 | 🧠 How to Build an AI Agent | 978 |
| 5 | Google Prompt Engineering.pdf | 1 247 |
| 6 | 🚨 Google dropped a 68-page whitepaper on Prompt Engineering — perfect for API users!
It’s packed with advanced tips, techniques, and real examples.
Super useful if you're working with LLM APIs or building AI apps!
PDF below 👇 | 1 182 |
| 7 | 7 out of 10 businesses are missing the AI automation opportunity.
(𝗜 𝘀𝗲𝗲 𝘁𝗵𝗶𝘀 𝗮𝗹𝗹 𝘁𝗵𝗲 𝘁𝗶𝗺𝗲 𝗶𝗻 𝗺𝘆 𝘀𝗮𝗹𝗲𝘀 𝗰𝗮𝗹𝗹𝘀.)
So many are stuck in manual processes.
Wondering why competitors are suddenly 10x faster.
But this 5-step AI automation process will help you out.
Here’s what business leaders should be implementing:
STEP 1: IDENTIFY AI USE CASES
↳ Content Creation with Jasper, Copy(.)ai
↳ Data Analysis with Julius AI, Code Interpreter
↳ Customer Support with Retell AI, Vectorshift AI
STEP 2: SELECT AI MODEL/TOOL
↳ ChatGPT for conversations & images
↳ Claude for analysis & coding
↳ n8n for workflow automation
STEP 3: DESIGN AGENT WORKFLOW
↳ Map the process with clear inputs/outputs
↳ Define decision logic
↳ Set up error handling
STEP 4: CONNECT APIs & DATA
↳ Zapier for app connections
↳ Make for workflow automation
↳ Langchain for AI frameworks
STEP 5: DEPLOY & MONITOR
↳ Track performance metrics
↳ Optimize based on results
↳ Scale what works
KEY TECH SKILLS YOU NEED:
- API Integration & Webhooks
- Prompt Engineering (ChatGPT, Claude)
- No-Code Platforms (Lovable, n8n)
- Vector Databases
- AI Agent Architecture | 1 000 |
| 8 | 7 claude prompts to automate you bussiness ☕️
React 🩷 For More | 975 |
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