❤️‍🩹❤️‍🩹❤️‍🩹Tomorrow

ቂርቆስ እየሉጣን ያወጣ ከሳት

እኛንም አድነን አድነን ሊቀ መልእክት

እኛንም አድነን አድነን ገብርኤል ሊቀ መልእክት

This is genuinely disheartening. Let's all contribute what we have.

Sunday and family time ☺️☺️☺️

Don't underrate ትኩስ እንጀራ በጨው😋😋

I just heard someone online say , no matter how old you are , you will always wish you started younger, but today is the youngest you will ever be !!

#simruthoughts

Yes yes 🤧🤧😁😁

In your 20s:

• Learn a high-income skill.
• Read more than you scroll.
• Build healthy habits.
• Save and invest early.
• Take calculated risks.
• Network with good people.
• Protect your health.
• Keep learning.
• Don't fear failure; learn from it.
• Be consistent. Small efforts compound into big results.

Source: chagpt, but I want to add one more: there is no perfection, okay.

#lessons
@byte_philosopher

https://t.me/BurhanOps/3612
Good Night fams🙌🏼

Good morning everyone 🫡
We count days and we reach at the last week of July🤔 let's move with these days🔥🔥
Have a productive week ✨✨✨

I wish streamlit support TailwindCSS for this project🤧🤧 let me try to find something if there will be tiny possibility 👍

What if you applied to YC with this kind of filter on the video? 😁

AKA : THE NEXT ROY LEE 😅

@selfmadecoder

tdy's favorite picture😊

In this time Don't underrate በሰላም ወጦ መግባትን !! Don't forget to say ተመስገን

Good night 😴 fams
Let's get some rest🫡

Another day to live.
Have a nice day beautiful souls❤️

@byte_philosopher

After some research and errors the Tailwind CSS works in the Streamlit 🙌🏼 It upgrade the app to some level

Checkout the medium blog that I found some infos about it :
Medium Source

AI Engineer Learning Roadmap (2026)

🎯 Step 1: Learn Python
✅ Variables & Data Types
✅ Loops & Functions
✅ Object-Oriented Programming
✅ Exception Handling
✅ File Handling
✅ Modules & Packages

🎯 Step 2: Master Python Libraries
✅ NumPy
✅ Pandas
✅ Matplotlib
✅ Scikit-learn

🎯 Step 3: Learn AI Fundamentals
✅ Artificial Intelligence
✅ Machine Learning
✅ Deep Learning
✅ Neural Networks
✅ Generative AI
✅ Large Language Models (LLMs)

🎯 Step 4: Learn Prompt Engineering
✅ Zero-shot Prompting
✅ One-shot Prompting
✅ Few-shot Prompting
✅ Role Prompting
✅ Chain of Thought Prompting

🎯 Step 5: Learn LLMs
✅ Tokenization
✅ Embeddings
✅ Context Window
✅ Temperature
✅ Model Parameters

🎯 Step 6: Learn RAG
✅ Embeddings
✅ Chunking
✅ Vector Databases
✅ Similarity Search
✅ Retrieval Pipeline

🎯 Step 7: Learn AI Agents
✅ Agent Architecture
✅ Memory
✅ Planning
✅ Tool Calling
✅ Multi-Agent Systems

🎯 Step 8: Learn AI Frameworks
✅ LangChain
✅ LangGraph
✅ LlamaIndex
✅ CrewAI

🎯 Step 9: Learn Backend Development
✅ FastAPI
✅ REST APIs
✅ Authentication
✅ Database Integration

🎯 Step 10: Deploy AI Applications
✅ Docker
✅ Git & GitHub
✅ Cloud Platforms (AWS, Azure, or GCP)
✅ Monitoring & Logging

🎯 Step 11: Build Projects
✅ AI Chatbot
✅ PDF Chat Assistant
✅ AI Research Assistant
✅ AI Resume Analyzer
✅ Customer Support Agent
✅ AI Coding Assistant

Watch this Ai Roadmap Video 👇 :

https://youtu.be/tKO4lOq32p0