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TechVibe

TechVibe

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I'm Eyob, a self-taught backend dev sharing my Tech journey, tips, tools, and real-world projects. Let’s grow together😊 DM for any project ideas @alnova19 Personal site: https://eyobsimachew.vercel.app My Github: https://github.com/Eyob-smax

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So fam, we have this small group where we share abroad job and internship opportunities so if you want to join this group hit me up @alnova19, there is only one rule you have to be active and you have to share opportunities actively #findgigs

Kim now 😅
Kim now 😅

whatever😕 #JobRejections
whatever😕 #JobRejections

hp 8th generation core i5 with touch screen 1 tera storage and 14 inch screen size I have this pc guys if you want to buy just DM me @alnova19

Repost from Cyber Guardians
#Sunday_Tip Bro our moms aren't getting younger, get urself up and work hard to provide at least half of what they've provided to you. @cyber_Guardian5

Let me show you what topic out PM created she is really good at naming lol😂😂
Let me show you what topic out PM created she is really good at naming lol😂😂

We need this kind of clarity in life🔥 @devwitheyob #TechVibeBot

We need this kind of clarity in life🔥

Repost from Coolio
who am i and what am i aiming to be ? i am just a "regular" human but what makes me different is what i aim to be .... i aim to be one of the best ever humanoid robots engineer the world has ever knew. i'm currently undergoing my computer science degree, soon i will under take the following degrees as well - Electrical Engineering - Mechanical Engineering - Computer Engineering i have no idea how i am going to make it or how long it will take me to make it, but one this is for sure, I WILL MAKE IT. my journey will be documented in video form, so if you are reading this message when it was first broadcasted, just know you are going to be part of great history. ENJOY!

Repost from Frectonz
We won. 🎉️️️️️️🎉🎉
We won. 🎉️️️️️️🎉🎉

እንዴት ናችሁ፣ የማስጠናት ስራ የምትፈልጉ ሁላቹም https://www.zema.me ላይ ገብታቹ profile create ማድረግ ትችላላቹ። አዲስ tutoring platform ነው!

እንኳን ለ130 ኛው የአድዋ ድል በዓል አደረሳችሁ ተጋበዙልኝ #adwa

That AI interview was wild. I had an interview with an AI for an AI Tutor position (basically an AI trainer/evaluator), and one of the questions was about web scraping. I don’t have much hands-on experience with that, so I tried to explain it, but you really can’t trick it😁. It was my first time doing an AI interview, and it felt surprisingly natural and smooth. Unfortunately, I didn’t pass 😭 #Interview

I was on a team religious trip, and we were talking about the hopeless moments we’ve been through, and how God helped us. That conversation reminded me of something I’ll never forget. When I was a second-year student, I got really sick. It was a kidney infection, and it got so bad that I couldn’t do anything. I tried going to clinics, but they couldn’t help at all. I felt completely hopeless. I couldn’t even sit and code for more than 20 minutes. I remember going to church (kidste maryam 5k) and just sitting there, tired and helpless. I didn’t even have the strength to pray properly. After that, I went to Abrhot, and I got so sick that I collapsed. When I woke up about five minutes later, the pain was gone, completely gone. Just like that. I couldn’t believe it. I was so happy. I’ve never felt that pain again since then. But honestly… it makes me sad too, because I haven’t been doing much to make God happy. I even almost forgot that God did this for me 😞 #random

Repost from Tech Nerd
Somedays I wake up realizing I already have everything I need to build a million-dollar life 😁. It’s on me if I don’t create, market, build, or find a way to generate wealth. I have unlimited access to the world’s knowledge. Whatever I want to learn already exists and most of it is free. @selfmadecoder

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Next, I’m going to build a full RAG project for my portfolio. It will include not only text embeddings, but also web page scraping and document embeddings, and it will be production-ready. #RAG

Day 12 | RAG + Vector Embeddings I built a simple RAG project focused on vector embeddings where I first collect a large set of text data from the internet, generate embeddings locally using FastEmbed, and then store those vectors in Astra DB (Cassandra). when I ask a question, the system embeds my query, performs a cosine similarity search to retrieve the most relevant chunks and related documents, and then uses Groq as the LLM to generate an answer from that retrieved context. The key part is that if the retrieved context isn’t strong enough, it won’t hallucinate like a typical chatbot, it will simply say it doesn’t know based on the available information. #RAGSystem #VectorEmbedding

Tomorrow I’m going to build something a little different. I’ll create a simple but complete RAG system, try out what I’ve learned, and let you guys know how it goes. @devwitheyob #RAG #AI