Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning
رفتن به کانال در Telegram
Best Place to know latest AI Trends & Projects. Latest updates on Artificial Intelligence, Deep Learning, Machine Learning, and Computer Vision 💻💹 Admin: @love_data Buy ads: https://telega.io/c/aichads
نمایش بیشتر
شبکه:📈 تحلیل کانال تلگرام Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning
کانال Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning (@aichads) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 22 841 مشترک است و جایگاه 5 687 را در دسته فناوری و برنامهها و رتبه 1 733 را در منطقه الولايات المتحدة الأمريكية دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 22 841 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 25 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 171 و در ۲۴ ساعت گذشته برابر -2 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 2.99% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.98% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 682 بازدید دریافت میکند. در اولین روز معمولاً 224 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 2 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند tpg, learning, reply, chunk, \[\ تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Best Place to know latest AI Trends & Projects. Latest updates on Artificial Intelligence, Deep Learning, Machine Learning, and Computer Vision 💻💹
Admin: @love_data
Buy ads: https://telega.io/c/aichads”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 26 اوت, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
22 841
مشترکین
-224 ساعت
+167 روز
+17130 روز
در حال بارگیری داده...
کانالهای مشابه
ابر برچسبها
اشارات ورودی و خروجی
---
---
---
---
---
---
جذب مشترکین
اوت '26
اوت '26
+187
در 0 کانالها
ژوئیه '26
+227
در 2 کانالها
Get PRO
ژوئن '26
+205
در 0 کانالها
Get PRO
مه '26
+342
در 1 کانالها
Get PRO
آوریل '26
+214
در 2 کانالها
Get PRO
مارس '26
+256
در 0 کانالها
Get PRO
فوریه '26
+426
در 2 کانالها
Get PRO
ژانویه '26
+653
در 3 کانالها
Get PRO
دسامبر '25
+525
در 1 کانالها
Get PRO
نوامبر '25
+629
در 1 کانالها
Get PRO
اکتبر '25
+673
در 1 کانالها
Get PRO
سپتامبر '25
+690
در 1 کانالها
Get PRO
اوت '25
+912
در 0 کانالها
Get PRO
ژوئیه '25
+1 114
در 0 کانالها
Get PRO
ژوئن '25
+1 557
در 2 کانالها
Get PRO
مه '25
+2 689
در 0 کانالها
Get PRO
آوریل '25
+3 712
در 6 کانالها
Get PRO
مارس '25
+1 435
در 11 کانالها
Get PRO
فوریه '25
+1 131
در 4 کانالها
Get PRO
ژانویه '25
+1 815
در 10 کانالها
Get PRO
دسامبر '24
+823
در 1 کانالها
Get PRO
نوامبر '24
+756
در 0 کانالها
Get PRO
اکتبر '24
+851
در 1 کانالها
Get PRO
سپتامبر '24
+946
در 0 کانالها
Get PRO
اوت '24
+1 135
در 1 کانالها
| تاریخ | رشد مشترکین | اشارات | کانالها | |
| 27 اوت | 0 | |||
| 26 اوت | +1 | |||
| 25 اوت | +7 | |||
| 24 اوت | +7 | |||
| 23 اوت | +7 | |||
| 22 اوت | 0 | |||
| 21 اوت | +7 | |||
| 20 اوت | +5 | |||
| 19 اوت | +7 | |||
| 18 اوت | +5 | |||
| 17 اوت | +13 | |||
| 16 اوت | +12 | |||
| 15 اوت | +3 | |||
| 14 اوت | +4 | |||
| 13 اوت | +4 | |||
| 12 اوت | +18 | |||
| 11 اوت | +7 | |||
| 10 اوت | +14 | |||
| 09 اوت | +6 | |||
| 08 اوت | +5 | |||
| 07 اوت | +6 | |||
| 06 اوت | +7 | |||
| 05 اوت | +6 | |||
| 04 اوت | +19 | |||
| 03 اوت | +14 | |||
| 02 اوت | +3 | |||
| 01 اوت | 0 |
پستهای کانال
Your Data Science degree just got an AI update.
Yeah.
Things are moving fast.
Python. SQL. Machine Learning. Deep Learning. MLOps.
And now GenAI, LLMs, RAG & AI-powered workflows.
An 8-month program with 20+ industry projects and live weekend classes.
Maybe Data Science was just the beginning.
https://lp.pwskills.com/data-science-ai-online-program-pw-skills?utm_source=telegram&utm_medium=influencer&utm_campaign=deepakAugDS
| 2 |  +5n8n cheat sheet
I wish I had this cheat sheet when I started automating using n8n.
Save this before it disappears. This cheat sheet covers everything from triggers to AI agents, expressions to keyboard shortcuts. Whether you're building your first workflow or your hundredth, you'll want this in your back pocket. | 787 |
| 3 | Top AI Models for Developers
There is no single winner for every dev task.
1. Claude — Anthropic
Best for: Complex coding & large codebases
Excellent for: Debugging, refactoring, code reviews, multi-file changes, agentic coding, understanding existing codebases
Best choice: Complex production development
2. GPT — OpenAI
Best for: All-round software development
Excellent for: Coding, debugging, architecture, algorithms, code explanation, agentic workflows
Best choice: Developers who want one versatile model
3. ChatGPT — Google
Best for: Large codebases & multimodal development
Excellent for: Large-context code analysis, coding, documentation, multimodal inputs, Google Cloud development
Note: Very large context window is great for big repositories
4. DeepSeek
Best for: Cost-effective coding & reasoning
Excellent for: Coding, mathematics, reasoning, debugging, high-volume development
Best choice: Strong performance at lower cost
5. Qwen
Best for: Open-weight coding
Excellent for: Code generation, coding agents, local deployment, customization, multilingual development
Best choice: You want control over deployment and open-weight models
6. Grok — xAI
Best for: Coding + real-time information
Useful for: Coding, reasoning, web research, current information, developer experimentation
7. Mistral
Best for: Efficient/open AI development
Useful for: Enterprise applications, coding, local/private deployments, multilingual applications
8. Llama — Meta
Best for: Open-weight AI development
Useful for: Local AI, fine-tuning, research, custom AI applications, private deployments
9. Kimi — Moonshot AI
Best for: Reasoning + long-context development
Useful for: Complex reasoning, coding, large-context tasks, AI agents
10. GLM — Zhipu AI
Best for: Coding + agents + open models
Useful for: Code generation, reasoning, agent development, open-weight experimentation
Quick Ranking for Developers
🥇 Claude → Complex coding & refactoring
🥈 GPT → Best all-rounder
🥉 ChatGPT → Large codebases & multimodal work
4️⃣ DeepSeek → Cost-effective coding
5️⃣ Qwen → Open-weight/local coding
6️⃣ Grok → Coding + real-time information
7️⃣ Mistral → Efficient/open AI
8️⃣ Llama → Custom/local AI
9️⃣ Kimi → Long-context reasoning
🔟 GLM → Agents + coding
These rankings are task-dependent. Different models win different coding scenarios.
How to pick for your workflow:
Working on a 100k line repo → Claude or ChatGPT for context + refactoring
Need one model for everything → GPT
Budget + high volume → DeepSeek
Need local/private deployment → Qwen, Llama, Mistral
Building agents → GLM, Kimi, Claude
Need live docs + X trends → Grok
Double Tap ❤️ For More
-----
2.14 ₽ · /balance_help | 754 |
| 4 | 5 Free Courses to Go From AI Beginner to Practitioner
1️⃣ Harvard CS50: Introduction to AI with Python
🎓 Learn the fundamentals of AI before diving into machine learning. Build AI projects like Tic-Tac-Toe, search algorithms, and logic solvers while mastering core AI concepts.
👉 Click Here: https://cs50.harvard.edu/ai/
2️⃣ Google Machine Learning Crash Course
📊 Google's official ML course teaches gradient descent, TensorFlow, feature engineering, and model training with interactive lessons used by Google engineers.
👉 Click Here: https://developers.google.com/machine-learning/crash-course
3️⃣ fast.ai – Practical Deep Learning for Coders
💻 Build real deep learning models from the very first lesson. Learn computer vision, NLP, PyTorch, and deploy AI applications with practical projects.
👉 Click Here: https://course.fast.ai/
4️⃣ Hugging Face NLP Course
🤖 Master Transformers, LLMs, and modern Generative AI. Learn to fine-tune open-source models using the Hugging Face ecosystem.
👉 Click Here: https://huggingface.co/learn/nlp-course
5️⃣ Andrej Karpathy – Neural Networks: Zero to Hero
🧠 Build neural networks and a mini GPT completely from scratch. One of the best free resources to deeply understand how LLMs actually work.
👉 Click Here: https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ
❤️ Follow AIJobs for more AI drops | 1 027 |
| 5 | ✅ Top Artificial Intelligence Concepts You Should Know 🤖🧠
🔹 1. Natural Language Processing (NLP)
Use Case: Chatbots, language translation
→ Enables machines to understand and generate human language.
🔹 2. Computer Vision
Use Case: Face recognition, self-driving cars
→ Allows machines to "see" and interpret visual data.
🔹 3. Machine Learning (ML)
Use Case: Predictive analytics, spam filtering
→ AI learns patterns from data to make decisions without explicit programming.
🔹 4. Deep Learning
Use Case: Voice assistants, image recognition
→ A type of ML using neural networks with many layers for complex tasks.
🔹 5. Reinforcement Learning
Use Case: Game AI, robotics
→ AI learns by interacting with the environment and receiving feedback.
🔹 6. Generative AI
Use Case: Text, image, and music generation
→ Models like ChatGPT or DALL·E create human-like content.
🔹 7. Expert Systems
Use Case: Medical diagnosis, legal advice
→ AI systems that mimic decision-making of human experts.
🔹 8. Speech Recognition
Use Case: Voice search, virtual assistants
→ Converts spoken language into text.
🔹 9. AI Ethics
Use Case: Bias detection, fair AI systems
→ Ensures responsible and transparent AI usage.
🔹 10. Robotic Process Automation (RPA)
Use Case: Automating repetitive office tasks
→ Uses AI to handle rule-based digital tasks efficiently.
💡 Learn these concepts to understand how AI is transforming industries!
💬 Tap ❤️ for more! | 1 394 |
| 6 |  If you’re a student, graduate, or someone looking for a career switch, read this.
Most people spend months watching random YouTube videos and still don’t become job-ready.
Instead, learn in a structured offline classroom.
📌 Data Analytics with GenAI
📌 Python + SQL + Power BI
📌 6-Month Program
📌 1:1 Mentorship
📌 Job Assistance
📍Now available in your city.
Seats are limited.
👉 Register Here: https://lp.pwskills.com/data-analytics-course-offline-batch0?utm_source=telegram&utm_medium=influencer&utm_campaign=daoffline | 1 034 |
| 7 |  Aaj hi ek certified Hackar bano!💻
Shuru se saari cheeze seekho bilkul basic se!!
PW skills leke aaya h certified Ethical Hacking ka course!!
Isme milega :
✅ Hands on Practice
✅ LIVE Hacking Labs
✅ Certificate after Completion
Sirf Rs 4999 mai
Abhi enroll karo HACK30 Coupon code use karke 30% OFF milega!
Enroll NOW : https://pwskills.com/web-development/certified-ethical-hacking-course-035473/?source=pwskills.com&position=course_dropdown&from=home_page&utm_source=pwskills&utm_medium=telegram&utm_campaign=ethical_hacking | 1 185 |
| 8 |  بدون متن... | 1 154 |
| 9 |  🤝 Agentic AI Explained | 1 121 |
| 10 | 🎯 Step by step AI and ML roadmap with a YouTube playlist 👇
Step 1 - Python programming:
https://youtu.be/eirjjyP2qcQ?si=KuAvg-DuKxMkD7jR
Step 2 - Foundation of AI/ML:
https://youtu.be/VOpETRQGXy0?si=mfJ86zEFHv2VqGrb
Step 3 - Data Science:
https://youtu.be/fM4qTMfCoak?si=AhpjlpEmRAQh9k0g
Step 4 - Gen AI + LLM foundation:
https://youtu.be/pSVk-5WemQ0?si=7tb-RGCSxwrXV5E2
Step 5 - LangChain + LangGraph:
https://youtu.be/yC36gN-rqjo?si=43HnisWd1V1IfvRM
Step 6 - Model Context Protocol:
https://youtu.be/3_TN1i3MTEU?si=nkp-nGv-MN0X9Ukb
Step 7 - Google ADK + A2A:
https://youtu.be/mFkw3p5qSuA?si=cTJZiYX7L1ZdVwOc
React '❤️' for more such content! | 1 432 |
| 11 |  🐶 ASO Corgi — platform for the App Store developers.
Find the keywords your apps and competitors rank for, and track positions across every country in one place.
🔑 Keyword research: by topic, by your app's languages, from App Store suggestions, by competitors, and with AI analysis.
• Rankings by country — history, charts, demand score (0–100)
• Global search across any App Store storefront
• ASO assistant builds your listing for each locale
• App Store top charts for any country
🎁 14 days of Pro, free 👇 (no card required)
https://asocorgi.com/?promo=promo14&utm_source=aichads&utm_medium=telegram&utm_campaign=launch | 1 191 |
| 12 | AI agents are no longer just a developer toy.
OpenAI published new research on how agents are changing work, and the main takeaway is important:
AI is moving from short chat interactions to delegated long-horizon tasks.
That sounds abstract, but here is the simple version:
Old way:
ask AI one question, get one answer.
New way:
give AI a task, let it work for minutes or hours, review the result.
This is the shift that matters.
According to OpenAI's research, by May 2026, 80.6% of sampled individual Codex users made at least one request estimated to represent more than 30 minutes of human work.
70.2% made at least one request estimated at more than one hour of human work.
And 25.6% delegated work estimated to take more than eight hours.
The most interesting part:
Non-developer adoption is growing fast.
That means agents are not only for engineers anymore.
They are becoming useful for:
- operations
- support
- finance
- recruiting
- marketing
- research
- reporting
- personal productivity
- small business workflows
This is the practical question now:
Not "Which AI model is smartest?"
But:
"What work can I safely delegate to an agent?"
The answer is not "everything."
The answer is:
one clear task,
with context,
tools,
rules,
memory,
and human review.
This is what we will focus on next:
how to turn normal work into agent-ready tasks.
Not theory.
Not hype.
Practical AI systems you can actually build and use.
Sources:
https://openai.com/index/how-agents-are-transforming-work/
https://www.axios.com/2026/06/25/codex-agents-growth-openai | 1 188 |
| 13 |  🤖 Anthropic updates Claude Design with brand style sync
Anthropic's Claude Design now integrates your design system directly from repositories, design files, or codebases to maintain your brand style across projects. It builds interfaces using your real components and checks compliance before you see the result.
The editor is more stable for daily use and adds new layout controls. You can drag, resize, and align elements on the canvas without extra steps. Claude Design and Claude Code sync bidirectionally, letting you start in code or design and keep projects aligned.
Finished work exports to PDF, PowerPoint, or other tools you already use. This update tightens the workflow between design and development with fewer style mismatches.
📊@tech | 1 104 |
| 14 | ✅ Today's AI News
1️⃣ AI regulation is tightening
Reuters reports fresh pressure on xAI, OpenAI, and Anthropic, with lawsuits, access restrictions, and national-security concerns all in focus.
2️⃣ Big tech spending on AI is still huge
Microsoft’s AI infrastructure push, Google’s Gemini updates, and broader platform expansion remain major parts of the story.
3️⃣ AI is reshaping business models
The Economist highlights rising costs from AI agents and notes that companies are still figuring out how to make AI economically efficient.
4️⃣ India is a major AI hub right now
Indian Express is tracking AI governance, Anthropic’s India expansion, OpenAI’s compute growth, and Google’s AI features.
5️⃣ Research and product launches keep accelerating
MIT, Bloomberg, TechCrunch, and Google all show continued momentum in AI research, tools, and commercial applications.
💬 Tap ❤️ for more! | 1 150 |
| 15 | 🧑💻 Useful AI Tools for Coding – 2026 🤖
1️⃣ Full IDEs
• Cursor (v2 with agentic workflows)
• Windsurf
• Trae
• Zed (AI-native forks)
• JetBrains AI Assistant
• VS Code with CopilotX
2️⃣ IDE Extensions
• GitHub Copilot (Workspace mode)
• Tabnine Pro
• Codeium
• Cline
• Continue.dev
• AskCodi
• Bito
3️⃣ Code Analysis
• CodeRabbit
• Mintlify
• Swimm
• Qodo
• MutableAI
4️⃣ Auto Agents
• Claude Code (3.5 Sonnet)
• OpenDevin
• RooCode
• Aider
• Cognition Devin
• SmythOS
5️⃣ Cloud-based Coding
• GitHub Codespaces (AI-accelerated)
• Amazon Q Developer
• Replit Agent
• StackBlitz
• CodeSandbox AI
• Cursor Cloud
6️⃣ AI Chatbots
• ChatGPT (o3 models)
• Claude
• Gemini 2.0
• Perplexity Labs
• Cody (Sourcegraph)
• Phind
• Grok Code
💬 Tap ❤️ if you found this useful! | 1 281 |
| 16 | AI Fundamentals You Should Know: 🤖📚
1. Artificial Intelligence (AI)
→ Technology that allows machines to mimic human intelligence like learning, reasoning, problem-solving, and decision-making. AI powers tools like Chat, recommendation systems, voice assistants, and self-driving technologies.
2. Machine Learning (ML)
→ A subset of AI where systems learn patterns from data instead of being manually programmed. The more quality data ML models receive, the better they become at predictions and analysis.
3. Deep Learning
→ An advanced form of machine learning that uses neural networks with multiple layers to process complex tasks like image recognition, speech understanding, and generative AI.
4. AI Agent
→ An autonomous AI system capable of performing tasks, making decisions, interacting with tools, and completing workflows with minimal human input. AI agents are becoming the foundation of next-generation automation.
5. AI Model
→ A trained computational system that processes inputs and generates outputs such as predictions, text, images, or recommendations based on learned patterns.
6. Training
→ The process where AI models learn from massive datasets by identifying patterns, adjusting internal parameters, and improving accuracy over time.
7. Inference
→ The operational stage where a trained AI model generates responses, predictions, or decisions for real-world use. Every Chat response is an example of inference.
8. Prompt
→ Instructions, commands, or questions provided to an AI system. The clarity and detail of prompts directly impact the quality of AI outputs.
9. Prompt Engineering
→ The skill of designing structured and optimized prompts to guide AI systems toward more accurate, useful, and context-aware responses.
10. Generative AI
→ AI systems capable of creating original content such as text, images, music, videos, designs, and code instead of only analyzing existing information.
11. Token
→ Small units of text processed by AI models. Tokens may represent words, parts of words, or symbols that help AI understand and generate language.
12. Hallucination
→ A phenomenon where AI generates false, misleading, or fabricated information confidently due to prediction errors or lack of verified context.
13. Fine-Tuning
→ The process of customizing a pre-trained AI model using specialized datasets so it performs better on specific tasks or industries.
14. Multimodal AI
→ AI systems capable of processing and understanding multiple data formats together, including text, images, audio, and video.
15. LLM (Large Language Model)
→ Massive AI models trained on huge text datasets to understand language, answer questions, summarize information, and generate human-like responses.
16. Neural Network
→ A computational architecture inspired by the human brain, consisting of interconnected nodes that help AI recognize patterns and make decisions.
17. RAG (Retrieval-Augmented Generation)
→ A technique where AI retrieves external or updated information before generating responses, improving factual accuracy and context relevance.
18. Embeddings
→ Mathematical vector representations of text, images, or data that allow AI systems to understand meaning, similarity, and relationships between information.
19. Vector Database
→ Specialized databases designed to store and search embeddings efficiently, enabling semantic search and advanced AI retrieval systems.
20. Agentic AI
→ Advanced AI systems capable of reasoning, planning, memory handling, decision-making, and autonomously completing complex multi-step tasks.
21. Open Source AI
→ AI models and frameworks publicly available for developers and researchers to access, modify, improve, and build upon collaboratively.
📌 AI Resources: https://whatsapp.com/channel/0029Va4QUHa6rsQjhITHK82y
Double Tap ❤️ For More | 1 352 |
| 17 |  🎰 Welcome Bonus 1200% — Maczo Crypto Casino
🎮 Crypto exchange · Sports · Live casino — all in one place
💳 USDT instant deposit & withdrawal
→ https://tglink.io/b9fbee3b3edf57 | 325 |
| 18 | Stop telling Claude, write the code, find the bug, make this work, You’re treating a billion-dollar AI engineer like a confused junior intern. Here are 11 Insane prompts you can copy-paste right now 🚀
React ❤️ For More | 1 325 |
| 19 |  بدون متن... | 1 646 |
| 20 | ✅ 🔤 A–Z of AI Tools 🤖⚡💻
A – Adobe Firefly
AI tool for generating images and creative designs.
B – Bard
Google’s AI chatbot for conversations and information (now part of Gemini).
C – ChatGPT
AI assistant for writing, coding, learning, and problem-solving.
D – DALL·E
AI model that generates images from text prompts.
E – ElevenLabs
AI voice generator for realistic speech synthesis.
F – Fliki
AI tool for converting text into videos with voiceovers.
G – GitHub Copilot
AI coding assistant that suggests code in real time.
H – Hugging Face
Platform for machine learning models and NLP tools.
I – IBM Watson
Enterprise AI platform for analytics and automation.
J – Jasper AI
AI content writing tool for marketing and blogging.
K – Kaiber
AI tool for creating videos and visual content.
L – Luma AI
AI tool for 3D content creation and visualization.
M – Midjourney
AI image generation tool known for artistic visuals.
N – Notion AI
AI assistant for productivity, writing, and organization.
O – OpenAI Codex
AI model that converts natural language into code.
P – Pictory
AI video creation tool from text content.
Q – QuillBot
AI writing assistant for paraphrasing and grammar.
R – Runway ML
AI platform for video editing and generative media.
S – Stable Diffusion
Open-source AI image generation model.
T – TensorFlow
Machine learning framework for building AI models.
U – UiPath
AI-powered robotic process automation tool.
V – VEED.io
AI video editing and subtitle generation tool.
W – Writesonic
AI writing and content generation platform.
X – xAI Grok
AI chatbot developed by xAI.
Y – YouChat
AI search assistant for conversational answers.
Z – Zapier AI
AI automation tool for connecting apps and workflows.
❤️ Double Tap for More | 1 495 |
