OpenAI Mastery: ChatGPT, Midjourney, Deepseek

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Welcome to OpenAI Tutorials! 🤖 Unlock the power of AI with clear and concise guides. From basics to advanced techniques, join us on a journ Buy ads: https://telega.io/c/OpenAI_Mastery

📈 نظرة تحليلية على قناة تيليجرام OpenAI Mastery: ChatGPT, Midjourney, Deepseek

تُعد قناة OpenAI Mastery: ChatGPT, Midjourney, Deepseek (@openai_mastery) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 47 123 مشتركاً، محتلاً المرتبة 2 404 في فئة التكنولوجيات والتطبيقات والمرتبة 9 514 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 47 123 مشتركاً.

بحسب آخر البيانات بتاريخ 12 نوفمبر, 2025، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 822، وفي آخر 24 ساعة بمقدار 0، مع بقاء الوصول العام مرتفعاً.

حالة التحقق: غير موثّقة
معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 13.04‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 3.78‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
وصول المنشورات: يحصل كل منشور على متوسط 6 143 مشاهدة. وخلال اليوم الأول يجمع عادةً 1 782 مشاهدة.
التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 15.
الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل openai, gemini, learning, 038k|, linkedin.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Welcome to OpenAI Tutorials! 🤖 Unlock the power of AI with clear and concise guides. From basics to advanced techniques, join us on a journ Buy ads: https://telega.io/c/OpenAI_Mastery”

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 18 مارس, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

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المشتركون

لا توجد بيانات24 ساعات

+2007 أيام

+82230 أيام

6 143

عرض المشاهدات

~ 1 78224 ساعات

~ 2 20448 ساعات

13.04%

معدل المشاركة

~ 1

المشاركات في اليوم

Ads index

beta

أرشيف المشاركات

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💡 Why AI Is not Hype – A real-Life example The company I work for demonstrated a proof of concept today using a ChatGPT model for image recognition to pre-fill and verify data, previously a manual task. By automating this process, we saved about six minutes per instance. That doesn’t sound like much, right? Well, this process runs 282,000 times a year, resulting in a staggering 28,000 hours saved. Let’s estimate an hourly rate of $25. A simple AI use case like this just saved the company $700,000 per year. And this was just build and released in a matter of months. This is one of the many examples I've seen so far. Right now, the company is experimenting with 10 other proof of concepts for various use cases. Many of which I believe will scale massively over time. The same goes for many other businesses right now. They are still very much in the experimental phase. Only just beginning to grasp the massive potential of AI. This is why I’ve positioned my portfolio heavily in companies that benefit from the various stages of AI adoption. Investing is about looking to the future, and I truly believe there’s so much more to come. As both an investing and tech geek, I find this incredibly exciting.

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My buddy just posted a prompt on his channel that really gets the most out of models 🔥 I've been using it for a week now — now I can do some tasks 3 times faster. 👉 Go ahead and grab it → @ai_posted 👈 P.S. He promised to post another powerful prompt when he reached 1K subscribers. I advise you not to miss it 👀

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🖥 If Steve jobs had a ChatGPT Prompt Library

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📦 Exercise Files

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📱OpenAI Tutorials 📱Building a Personalized Chatbot with OpenAI and LangChain

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📂 Full description Are you a Python programmer looking to expand your skill set with AI, machine learning, and APIs? In this course, instructor Dhhyey Desai shows you how to use LangChain and OpenAI to build a fully personalized chatbot thats trained on your data through a PDF file.Learn the fundamentals of setting up and preparing data, including the development environment, PDF, and website data. Along the way, Dhhyey provides an overview of what it takes to successfully build a chatbot, from integrating OpenAI for responses to building the LangChain architecture and using Flask for chatbot deployment.

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🔅 Building a Personalized Chatbot with OpenAI and LangChain 🌐 Author: Dhhyey Desai 🔰 Level: Intermediate ⏰ Duration: 22m

🌀 Learn how to build a fully personalized chatbot with LangChain and OpenAI.

📗 Topics: LangChain, OpenAI Products, Chatbot Development 📤 Join OpenAI Tutorials for more courses

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🔅 05 - Is Operator safe

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🔅 04 - Operator options and settings

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🔅 03 - Creating and monitoring tasks with OpenAIs Operator

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🔅 02 - What is an agent

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🔅 01 - Accelerate everyday tasks with OpenAIs Operator

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🔅 ChatGPT's Operator: Automating Everyday Tasks with AI Agents 🌀 Learn about and experience how to use Operator, ChatGPTs new AI agent for automating tasks using a browser-powered assistant with AI-enhanced execution. 📋 Content

01 - Accelerate everyday tasks with OpenAIs Operator 02 - What is an agent 03 - Creating and monitoring tasks with OpenAIs Operator 04 - Operator options and settings 05 - Is Operator safe

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🚨 Google’s AI is just making stuff up — And It’s getting worse First, it told people to eat rocks. Now, it’s inventing CIA family ties. Google’s AI Overviews just falsely claimed Mike Benz is the grandson of Cold War spymaster James Jesus Angleton. The issue? Google’s AI pulls from the web without understanding context, blending facts, satire, and nonsense into confidently wrong answers. And it’s not just obscure queries—bad info is showing up everywhere. Google says it's making fixes, but so far, AI Overviews is proving one thing: you can’t trust everything you read, especially when it’s AI-generated.

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$🖥 FRACTAL BIO-LUMINESCENCE Prompt: A Fractal Bio-Luminescence depiction of [SUBJECT], with intricate, glowing fractal patter$

🖥 FRACTAL BIO-LUMINESCENCE Prompt:

A Fractal Bio-Luminescence depiction of [SUBJECT], with intricate, glowing fractal patterns reminiscent of deep-sea organisms. Utilize a color scheme of bioluminescent [COLOR1] and [COLOR2], creating an ethereal underwater scene

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💡 How to Use AI to Learn Anything Faster LEARN ANYTHING IN 20 HOURS

I need to learn [topic] fast. Build me a 20-hour plan focused on the 20% that drives 80% of results. Break it into 10 two-hour sessions with the best resources and a 15-minute review at the end of each.

CREATE A ONE-PAGE CHEAT SHEET

Summarize the key concepts of [topic] on a single page. Use bullet points, diagrams, and examples so I can review it in 5 minutes.

EXPLAIN LIKE I’M 5

Explain the basics of [topic] in the simplest possible way. Use analogies and short examples. Then give me 3 questions to check my understanding.

BUILD A LEARNING LADDER

Break [topic] into 5 levels of difficulty. Show me how to go from Level 1 (beginner) to Level 5 (advanced) with a clear milestone at each step.

FIND THE BEST LEARNING RESOURCES

List the top 5 resources (books, videos, courses, or people) for learning [topic] fast, and explain why each is worth my time.

USE THE FEYNMAN TECHNIQUE

Explain [topic] to me in the simplest terms. Then have me re-explain it back. Point out gaps, re-teach what I miss, and repeat until I can explain it clearly on my own.

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28 - Course Conclusion and What's Next