Weekly AI Knowledge Sharing

🎯 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. 👇 🔹…

In the world of AI and ML, Data is Everything — but how you see that data makes all the difference. ✨ Enter Data Visualization — the bridge between raw data and meaningful insights. 📈 Why It Matters: ✅ Must-Know Tools: 📊 Real Benefits:…

📌 Topic: Why Understanding the Bias in AI Models Matters More Than Ever👉 Follow more insights at www.boopeshvikram.com In the world of AI, accuracy often grabs the spotlight—but what lies beneath the surface is just as important: bias. Bias in AI isn’t just a…

🎯 Topic: Why Vectorization in Machine Learning Matters More Than You Think If you’re building or training ML models and still relying on loops, you’re likely missing out on major performance and scalability gains. ⚡ Enter: Vectorization Vectorization is the practice of performing operations…