Weekly AI Knowledge Sharing

Understanding LLMs & Building Your Own 🚀 What is an LLM?A Large Language Model (LLM) is an AI system trained on massive text datasets to understand and generate human-like language. Examples include GPT-4, Claude, Gemini, and LLaMA. They power chatbots, summarization tools, coding assistants,…

Roadmap to Learn Computer Vision in 2025 Computer Vision is one of the most exciting and in-demand areas of AI — enabling machines to see, interpret, and make decisions based on visual data. Whether you’re a student, a working professional, or someone curious about…

Ever wondered how your phone recognizes your face or how self-driving cars “see” the road? That’s the power of Computer Vision (CV) — a branch of AI that enables machines to see, understand, and make decisions based on visual input, just like humans. What…

🎯 Top Machine Learning Algorithms You Should Know Whether you’re just stepping into the world of ML or looking to sharpen your AI toolkit, understanding the core algorithms that power machine learning models is essential. Here are 7 foundational algorithms that dominate the field…

🔍 Prompt Engineering vs Fine-Tuning: Know the Difference In the world of AI, especially when working with LLMs (like ChatGPT, Claude, Gemini), two powerful levers help us adapt AI to specific tasks: Prompt Engineering and Fine-Tuning. But many confuse them. Here’s a quick breakdown:…

🤖 Generative AI vs Agentic AI – What’s the Difference? In the rapidly evolving landscape of Artificial Intelligence, two powerful paradigms are shaping the way we build and interact with intelligent systems: ➡️ Generative AI➡️ Agentic AI Let’s break them down clearly. 👇 🔹…