Transformers are usually taught like someone dumped tokenization + embeddings + Q/K/V + softmax + ReLU + multi-head into a blender, hit “Turbo,” and called it intuition. If you’ve ever nodded politely while your mind quietly left your body—welcome… In this mini-series, we’ll learn the same mechanics using one friendly…
Category: GenAI
When Your AI Assistant Becomes a Spy: Lessons from the GeminiJack Incident
Imagine this. Your company has just rolled out a shiny new AI assistant that can read your emails, documents, and calendar so it can answer questions faster. You type: “Show me the latest approved budget numbers for Q4.” The assistant responds with a neat, tidy summary.You skim it, nod, move…
When AI Speaks Its Mind: Understanding Verbalized Sampling
The New Chapter in Prompt Engineering Imagine asking a friend for advice. Instead of giving one fixed answer, they pause, think aloud, list a few possibilities, and even admit how sure they feel about each. That’s what a new prompting technique called Verbalized Sampling (VS) teaches AI to do —…
The Workshop That Teaches Itself: How ACE Turns Context into Craft
Imagine a busy workshop where an apprentice crafts wooden furniture under the guidance of a master carpenter. Every piece the apprentice makes leaves behind a small story: What worked, what didn’t, what needed extra sanding. Instead of retraining the apprentice from scratch each week, the master keeps a single, evolving…
Beyond Language: The Evolution from LLMs to LRMs and Agentic AI
For the longest time, the world of AI has been fascinated with language. Large Language Models, or LLMs, have captured our imagination with their ability to write poetry, summarize reports, answer questions, and mimic human tone with startling fluency. But as we press deeper into the terrain of intelligence, we…
Hyena Model: How AI Is Learning to Travel Light (Without Losing Its Mind)
Introduction: Why We Need Lighter AI Imagine trying to move houses but realizing your favorite suitcase weighs 700 pounds. That’s kind of what’s happening with AI these days. Models like GPT-4 and BERT are incredibly smart, but carrying them around in your phone, smartwatch, or even your car? Forget it….
Model Context Protocol (MCP) Made Simple: The Universal Plug for Smarter AI Assistants
Imagine if every time your AI assistant wanted to help you—whether it’s summarizing a PDF, sending an email, or checking your calendar—it needed a new, custom-built bridge. That’s how the AI world worked… until MCP arrived. The Model Context Protocol (MCP) is an open standard that allows AI models to…
Vibe Coding: When Intuition Meets Innovation in Programming
What if coding wasn’t just about precision and structure, but about energy, expression, and intuition? That’s the soul of vibe coding, a new way of thinking about programming, where you feel your way through creation instead of following strict, predefined steps. Whether you are building visualizations, composing AI-generated music, or…
Atom of Thought: A New Pulse in Prompt Engineering?
What if the way we guide AI could be broken down into something even more fundamental than a chain or a tree? What if, instead of structured sequences, we dealt with atomic elements of cognition—small, precise, independently verifiable prompts that form the building blocks of complex reasoning? Enter Atom of…
Pirates, Parrots, and the Treasure Chest: Unveiling the Hidden Risks in RAG Systems
Hola, AI adventurers! Imagine a world where a magic parrot retrieves hidden treasures (data chunks) from a secret chest and tells you the perfect story every time. This parrot powers chatbots, customer support tools, and even medical advisors. But what if a clever pirate tricked this parrot into spilling all…