When you try to do complex systems , start from create clear and concise plan. You must create the system in your mind virtually, before writing the code🙌

Internship Tip from my friend:

Before starting an internship, let's build something actually used by end users, not a demo or personal project. It must be deployed and in use. That’s creativity, the idea may or may not to be new to the user, but it must try to solve local problems.
that will be a great portfolio project

.

It's another Saturday ❤

Optimization pain

btw have you applied optimization in your daily routine? Do you know it's a weapon to win over competitors, and also to display your quality?

ሆሳዕና በአርያም ❤

We have Isaac Newton (Physics), Sigmund Freud (Psychology) blah blah blah...
but bro😂

Hello fam
a bit challenging week for me, sorry I will back soon........

1. በሰንበትም መጨረሻ መጀመሪያው ቀን ሲነጋ መግደላዊት ማርያምና ሁለተኛይቱ ማርያም መቃብሩን ሊያዩ መጡ። 2 እነሆም፥ የጌታ መልአክ ከሰማይ ስለ ወረደ ታላቅ የምድር መናወጥ ሆነ፤ ቀርቦም ድንጋዩን አንከባሎ በላዩ ተቀመጠ። 3መልኩም እንደ መብረቅ ልብሱም እንደ በረዶ ነጭ ነበረ። 4ጠባቆቹም እርሱን ከመፍራት የተነሣ ተናወጡ እንደ ሞቱም ሆኑ። 5መልአኩም መልሶ ሴቶቹን አላቸው፦ እናንተስ አትፍሩ የተሰቀለውን ኢየሱስን እንድትሹ አውቃለሁና፤ 6እንደ ተናገረ ተነሥቶአልና በዚህ የለም፤ የተኛበትን ስፍራ ኑና እዩ። 7ፈጥናችሁም ሂዱና፦ ከሙታን ተነሣ፥ እነሆም፥ ወደ ገሊላ ይቀድማችኋል በዚያም ታዩታላችሁ ብላችሁ ለደቀ መዛሙርቱ ንገሩአቸው። 8እነሆም፥ ነገርኋችሁ። በፍርሃትና በታላቅ ደስታም ፈጥነው ከመቃብር ሄዱ፥ ለደቀ መዛሙርቱም ሊያወሩ ሮጡ። 9እነሆም፥ ኢየሱስ አገኛቸውና፦ ደስ ይበላችሁ አላቸው። እነርሱም ቀርበው እግሩን ይዘው ሰገዱለት። 10በዚያን ጊዜ ኢየሱስ፦ አትፍሩ፤ ሄዳችሁ ወደ ገሊላ እንዲሄዱ ለወንድሞቼ ተናገሩ፥ በዚያም ያዩኛል አላቸው።
        ማቴ 28:1-10

✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟
     ክርስቶስ ተንስአ እሙታን
        በዓቢይ ኃይል ወስልጣን
             አሠሮ ለሰይጣን
               አግአዞ ለአዳም
                    ሰላም
                 እም ይእዜሰ
                      ኮነ
                ፍስሐ ወሰላም
✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟✟


እንኳን አደረሳችሁ ❤❤

Here is concise Django note

Confused between ML, NLP, Generative, and other AI models? 🤔

Here’s a quick breakdown of the 6 most important types of AI models you must understand in 2026👇

1. Machine Learning Models 🤖
They learn from labeled and unlabeled data to classify, predict, and detect patterns. Think decision trees, SVMs, and XGBoost.

2. Deep Learning Models 🧠
Neural networks built for unstructured data like images, audio, and text. Includes CNNs, RNNs, Transformers, and GANs.

3. NLP Models 💬
Focused on understanding and generating human language - used in chatbots, summarizers, and assistants like GPT and BERT.

4. Generative Models ✨
These models create, from text to images to music. Powered by models like GPT-4, DALL·E, and StyleGAN.

5. Hybrid Models 🔗
Combine the best of rule-based and neural AI. Perfect for use cases needing both reasoning and context awareness (e.g., RAG pipelines).

6. Computer Vision Models 👁
Built for images and videos. Used in object detection, facial recognition, and medical scans - powered by models like YOLO and ResNet.

Each AI model has its strengths and knowing which one fits your use case is half the battle. Save this guide as your cheat sheet! 📝✅

People Explaining API be like:

Developer VS Client


"the UI is quite simple, the client will easily figure it out"

the client :

Yes our life is not sorted 😡

Ethiopia😭😭

Sunday❤️❤️

🎙 LIVE Session: LLMs Under the Hood

📅 Date: Wednesday, April 22, 2026
⏰ Time: 8:00 PM

💡 Session Focus:
✨ How Large Language Models (LLMs) work internally
✨ Key concepts behind AI systems like ChatGPT
✨ Model training, tokens, and transformers explained
✨ Real-world AI applications and use cases
✨ Career insights in AI Engineering

👤 Guest Speaker:
Yonatan Getachew -Join his channel
AI Engineer | 4th Year Computer Science Student
📺 Join us live on Telegram
Telegram|LinkedIn|YouTube | Tiktok |

Agree or not?

Everybody need it🤣