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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

前往频道在 Telegram

🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

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📈 Telegram 频道 Artificial Intelligence & ChatGPT Prompts 的分析概览

频道 Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 42 275 名订阅者,在 技术与应用 类别中位列第 3 082,并在 印度 地区排名第 8 916

📊 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 42 275 名订阅者。

根据 15 九月, 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 -11,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 1.71%。内容发布后 24 小时内通常能获得 0.63% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 724 次浏览,首日通常累积 266 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 1
  • 主题关注点: 内容集中在 learning, algorithm, detection, llm, pattern 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:
🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

凭借高频更新(最新数据采集于 16 九月, 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。

42 275
订阅者
-224 小时
-67 天
-1130 天
吸引订阅者
九月 '26
九月 '26
+66
在1个频道中
八月 '26
+228
在0个频道中
Get PRO
七月 '26
+273
在1个频道中
Get PRO
六月 '26
+210
在0个频道中
Get PRO
五月 '26
+362
在1个频道中
Get PRO
四月 '26
+184
在0个频道中
Get PRO
三月 '26
+119
在0个频道中
Get PRO
二月 '26
+422
在1个频道中
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一月 '26
+597
在1个频道中
Get PRO
十二月 '25
+579
在0个频道中
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十一月 '25
+679
在1个频道中
Get PRO
十月 '25
+688
在2个频道中
Get PRO
九月 '25
+427
在0个频道中
Get PRO
八月 '25
+536
在3个频道中
Get PRO
七月 '25
+620
在2个频道中
Get PRO
六月 '25
+1 106
在4个频道中
Get PRO
五月 '25
+2 255
在4个频道中
Get PRO
四月 '25
+3 437
在2个频道中
Get PRO
三月 '25
+975
在4个频道中
Get PRO
二月 '25
+631
在7个频道中
Get PRO
一月 '25
+522
在3个频道中
Get PRO
十二月 '24
+274
在0个频道中
Get PRO
十一月 '24
+692
在3个频道中
Get PRO
十月 '24
+989
在0个频道中
Get PRO
九月 '24
+1 757
在1个频道中
Get PRO
八月 '24
+2 074
在1个频道中
Get PRO
七月 '24
+2 844
在3个频道中
Get PRO
六月 '24
+2 467
在2个频道中
Get PRO
五月 '24
+2 070
在5个频道中
Get PRO
四月 '24
+1 948
在3个频道中
Get PRO
三月 '24
+2 755
在2个频道中
Get PRO
二月 '24
+3 503
在1个频道中
Get PRO
一月 '24
+3 236
在3个频道中
Get PRO
十二月 '23
+2 129
在2个频道中
Get PRO
十一月 '23
+682
在6个频道中
Get PRO
十月 '23
+697
在0个频道中
Get PRO
九月 '23
+636
在0个频道中
Get PRO
八月 '23
+3 531
在0个频道中
日期
订阅者增长
提及
频道
16 九月+2
15 九月0
14 九月+14
13 九月+2
12 九月+7
11 九月+10
10 九月0
09 九月0
08 九月+19
07 九月0
06 九月0
05 九月0
04 九月+2
03 九月+9
02 九月0
01 九月+1
频道帖子
🧠 AI Concepts Every Beginner Should Know 🤖 🔹 Artificial Intelligence (AI) ➜ Machines performing tasks that normally require human intelligence 🔹 Machine Learning (ML) ➜ Systems that learn patterns from data 🔹 Deep Learning ➜ Uses neural networks with multiple layers to learn complex patterns 🔹 Generative AI ➜ Creates new text, images, audio, video, or code 🔹 Large Language Models (LLMs) ➜ AI models designed to understand and generate human language 🔹 Natural Language Processing (NLP) ➜ Enables computers to process and understand human language 🔹 Computer Vision ➜ Enables machines to understand images and videos 🔹 Neural Networks ➜ Computational models inspired by the way biological neurons process information 🔹 Prompt Engineering ➜ Designing effective instructions for AI models 🔹 RAG ➜ Combines AI models with external knowledge sources to improve responses 🔹 Fine-Tuning ➜ Adapts a pretrained AI model for a specific task or domain 🔹 Embeddings ➜ Represent text or other data as numerical vectors for similarity-based tasks 🔹 Vector Databases ➜ Store and search embeddings efficiently 🔹 AI Agents ➜ AI systems that can reason, use tools, and perform multi-step tasks 🔹 MLOps ➜ Practices for deploying, monitoring, and maintaining machine-learning systems 💡 Double Tap ❤️ For More ----- 13.03 ₽ · /balance_help

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🚀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝘁𝗼 𝗚𝗲𝘁 𝗮 𝗛𝗶𝗴𝗵-𝗣𝗮𝘆𝗶𝗻𝗴 𝗝𝗼𝗯 𝗶𝗻 𝟮𝟬�
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5 Tools to Build a GitHub Profile That Gets Noticed 🚀 1/ Shields.io: https://shields.io/ 2/ OctoProfile: https://octoprofile.vercel.app/ 3/ ProfileMe.dev: https://www.profileme.dev/ 4/ Readme.so: https://readme.so/ 5/ Skill Icons: https://skillicons.dev/
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🚀 𝗧𝗼𝗽 𝟯 𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 🔥 💫 Artificial Intelligenc
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FREE Resources to Learn Artificial Intelligence 🔥 * Python – python.org/doc * Math for AI – khanacademy.org/math/statistics‑probability * Machine Learning – scikit‑learn.org/stable * Deep Learning – pytorch.org/tutorials * Generative AI – google.com/ai/learn‑ai‑skills * NLP (Natural Language Processing) – huggingface.co/learn/nlp‑course * Reinforcement Learning – openai.com/research * AI Ethics – resourcelist.ai/ai‑ethics * AI Research – paperswithcode.com * AI Projects – kaggle.com/learn/ai * AI Learning Hub – learn.microsoft.com/en‑us/ai * GitHub AI List – github.com/mrsaeeddev/free‑ai‑resources Double Tap ♥️ For More
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𝗧𝗼𝗽 𝟱 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗖𝗮𝗿𝗲𝗲𝗿 📊 Want to start a ca
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⏩ AI Ethics and Responsible AI: Understand the challenges associated with AI, including bias, fairness, privacy, transparency, security, hallucinations, copyright, and responsible use of AI systems. ⏩ Build Projects and Practice: Put your knowledge into practice by building AI projects. Start with simple prediction and classification systems, then progress to chatbots, recommendation systems, computer vision applications, RAG systems, AI agents, and complete AI applications. ⏩ Continuous Learning and AI Trends: Artificial Intelligence is evolving rapidly. Stay updated with new research, models, tools, frameworks, Generative AI developments, robotics, multimodal AI, and emerging technologies. ➡️ Artificial Intelligence is a vast field that combines programming, mathematics, data, machine learning, deep learning, and intelligent systems. The best way to master AI is to build a strong foundation, practice consistently, and gradually work on real-world projects. React ❤️ for more ----- 1.41 ₽ · /balance_help
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To learn Artificial Intelligence from basic to advanced levels, you can follow these steps: 🤩🤩 ⏩ Python Programming: Start with Python, one of the most popular languages for AI development. Learn variables, data types, functions, loops, object-oriented programming, file handling, and important libraries such as NumPy and Pandas. ⏩ Mathematics for AI: Build a strong mathematical foundation. Learn linear algebra, probability, statistics, calculus, vectors, matrices, derivatives, gradients, and optimization concepts that form the foundation of modern AI. ⏩ Data Handling and Preprocessing: Learn how AI systems work with data. Study data collection, cleaning, preprocessing, feature engineering, normalization, encoding, missing values, and handling noisy or unbalanced datasets. ⏩ Machine Learning: Learn how machines learn patterns from data. Study supervised, unsupervised, and reinforcement learning along with algorithms such as Linear Regression, Logistic Regression, Decision Trees, Random Forests, K-Means, and Support Vector Machines. ⏩ Deep Learning: Move into neural networks and advanced learning systems. Learn neurons, activation functions, forward propagation, backpropagation, loss functions, optimizers, regularization, and architectures such as CNNs, RNNs, LSTMs, and Transformers. ⏩ Natural Language Processing (NLP): Learn how AI systems understand and generate human language. Study tokenization, text preprocessing, embeddings, sentiment analysis, text classification, sequence models, attention mechanisms, and Transformer architectures. ⏩ Computer Vision: Teach machines to understand visual information. Learn image processing, image classification, object detection, image segmentation, facial recognition, CNNs, and modern vision models. ⏩ Reinforcement Learning: Learn how AI agents make decisions through interaction with an environment. Understand agents, states, actions, rewards, policies, value functions, Q-learning, and modern reinforcement-learning techniques. ⏩ Generative AI: Explore AI systems that can generate new content such as text, images, audio, video, and code. Learn concepts such as generative models, diffusion models, Transformers, and Large Language Models (LLMs). ⏩ Large Language Models (LLMs): Understand how modern language models work. Study attention, Transformer architecture, pretraining, fine-tuning, instruction tuning, embeddings, context windows, and techniques such as Retrieval-Augmented Generation (RAG). ⏩ AI Agents: Learn how AI systems can reason through tasks and interact with tools. Explore tool calling, memory, planning, workflows, multi-step task execution, and agent architectures. ⏩ AI Frameworks and Tools: Become familiar with popular AI development tools and frameworks such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, and other modern AI libraries. ⏩ AI Deployment and MLOps: Learn how to take AI models from experimentation to real-world applications. Study APIs, model serving, Docker, cloud platforms, monitoring, model versioning, data pipelines, and AI system optimization.
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🚀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝗻 𝗔𝘇𝘂𝗿𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ☁️ ✨ Build practical skil
🚀 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝗻 𝗔𝘇𝘂𝗿𝗲 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 ☁️ ✨ Build practical skills in Cloud AI • Machine Learning • Data Preparation • ML Workflows • Azure Data Services. 🔥 Learn → Practice → Build Projects → Strengthen Your Tech Career 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:- https://pdlink.in/3UyljxK 🎓 Perfect for Students • Freshers • Data Science Aspirants • AI/ML Learners • Working Professionals
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𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 — 𝗚𝗲𝘁 𝗣𝗹𝗮𝗰𝗲𝗱 𝗜𝗻 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀😍 Learn JAVA/MERN Full Sta
𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 — 𝗚𝗲𝘁 𝗣𝗹𝗮𝗰𝗲𝗱 𝗜𝗻 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀😍 Learn JAVA/MERN Full Stack Development With GenAI. 🏆 Placement Highlights:- 💰 ₹41 LPA highest salary 📈 ₹7.4 LPA average salary 🎓 2,000+ students placed 🏢 500+ partner companies 🔗 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄 👇:- https://pdlink.in/3SuUeuD ⚡ Take the first step toward your dream tech career today!
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🔥 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗙𝗿𝗼𝗺 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 𝘁𝗼 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱! 💻📊 These free learning resources
🔥 𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗙𝗿𝗼𝗺 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿 𝘁𝗼 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱! 💻📊 These free learning resources cover everything from database fundamentals to advanced SQL queries, with opportunities to practice real-world problems. 🎯 Top FREE SQL Resources: 1️⃣ Introduction to Databases & SQL — Udemy 2️⃣ Advanced Database & SQL — Udemy 3️⃣ Learn SQL — Codecademy 4️⃣ SQL Tutorial — SQLZoo 🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 👇:- https://pdlink.in/4gNYHk7 🚀 Start from the basics and work your way toward advanced SQL skills!
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🚀 𝗗𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗼𝗳 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝘁 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀? 💻🔥 Here’s a collection of company-specific
🚀 𝗗𝗿𝗲𝗮𝗺𝗶𝗻𝗴 𝗼𝗳 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝘁 𝗧𝗼𝗽 𝗧𝗲𝗰𝗵 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀? 💻🔥 Here’s a collection of company-specific resources to help you understand their interview and hiring processes. 🎯 Interview Preparation Guides For: 🟠 Amazon – Interviewing Guide 🔵 Google – Interview Tips 🪟 Microsoft – Hiring & Interview Tips 🟢 NVIDIA – Hiring Process 🔷 Meta – Software Engineering Interview Prep 𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/4i6HkgN 📢 Save & share this with your friends — start learning for FREE!
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🎓 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀 Learn in-demand skills •
🎓 𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗢𝗳𝗳𝗲𝗿𝗶𝗻𝗴 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 🚀 Learn in-demand skills • Add valuable credentials to your resume 🏢 TATA :- https://pdlink.in/3QiwLvx 💻 Infosys :- https://pdlink.in/4eBH3Aa ⚡ IBM :- https://pdlink.in/45KgqDR 💫 Amazon :- https://pdlink.in/47XuBGz 🌐 Cisco :- https://pdlink.in/4gaeVVV 🪟 Microsoft :- https://pdlink.in/4zhGTX6 📢 Save & share this with your friends — start upskilling for FREE!
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