Samri-A

📣 Excited to Announce! WTM Addis and GDG Addis are teaming up with NSK.AI for an incredible AI Bootcamp:

“Intro to AI Agents: From RAG to Deployment”

This FREE, beginner-friendly Bootcamp will help students, developers, and AI enthusiasts build real-world AI apps that can answer questions using their own documents or external knowledge. All hands-on with Langchain and other open-source AI tools! As a participant, you’ll gain: ✅ Hands-on RAG (Retrieval-Augmented Generation) experience ✅ Practical projects with Langchain & open-source tools ✅ Text & audio AI interactions ✅ A portfolio-ready AI project ✅ Support from a vibrant learning community ✅ Knowledge of vector databases, retrieval strategies, prompt engineering & more No advanced AI background needed; just curiosity and basic Python skills!

🗓 Starts: 19th July 2025 | 💻 Self-paced | 💰 FREE

Register here 👉 https://forms.gle/1uM8go8yAPpr46KLA to start building real AI apps!

Spam 😬, you may not even listen to music, but the lyrics in this song are about life. I’ve been listening to it on repeat , it really hits hard. Check it out https://youtu.be/RPpoZYt1QME?si=HzVNItYoxS1W22sV"

Just completed Week 1😊 ... still in development

Today, I came across RAG (Retrieval-Augmented Generation) while working on an assignment for 10 Academy. You know, Large Language Models (LLMs) like GPT or DeepSeek are incredibly powerful, but they do have limitations—especially when it comes to domain-specific expertise or producing accurate responses in specialized contexts. That’s where RAG comes in. It enhances LLMs by retrieving preprocessed documents from a specific domain (like company data or product manuals), and then integrates this information into the generation process. For example, if you're building a customer service chatbot, RAG can retrieve relevant company documents and use them to generate more accurate, context-aware answers.

I was wondering about vs code and I found this article if u r curious... here 🤌 https://www.linkedin.com/pulse/from-origin-optimization-story-visual-studio-code-thirumoorthy-bqtxc/?trackingId=UWxtIt85Te2Q4g4fjrjrog%3D%3D it is short tho

Just started vulnerability detection browser based ide using React , Monaco and codebert-base-finetuned model from hugging face. Check out hugging face , it has tons of open-source models.

MLflow is a must-have tool. It helps track experiments, log metrics, and manage model versions all in one place. no need to re-run notebooks 🤌

Check out the xverse library for your machine learning project, it helps you select and prepare the most effective features for modeling.