Exploring AI Learning, the specifics of Large Language Models, including architecture, prompt engineering, fine-tuning, RAG, and their application in text-based tasks.
Watch or Listen on YouTube Google Titans AI: Inside “Miras” Introduction If you have ever tried to make a large language model reason over an entire codebase, legal case, or weeks of logs, you know the feeling. Context windows grow, prompts get longer, costs explode, and yet the model still forgets something important halfway through. … Read more
Watch or Listen on YouTube AI Efficiency Analysis: Did We Really Gain 22,000x Speed, or Is It Just Brute Force 1. Introduction There is a number floating around the industry that feels almost magical. You have likely seen it cited in slide decks or enthusiastic Twitter threads. The claim is that between 2012 and 2023, … Read more
Watch or Listen on YouTube TPU vs GPU: The Ultimate Guide to the AI Hardware War Introduction News that Meta is exploring Google’s TPUs sent a quiet shockwave through the tech industry. For years the narrative was simple. If you wanted to do serious AI work you bought NVIDIA. You paid the “green tax.” You … Read more
Watch or Listen on YouTube LLM Inference Explained: How AI Predicts Tokens and How to Make It Faster 1. Introduction A trained model is just a static file. It sits on your hard drive, a massive binary blob of weights and biases, doing absolutely nothing. It is potential energy waiting for a kinetic trigger. LLM … Read more
Agentic AI Tools Guide, Best Frameworks and How To Build LLM Agents Introduction You can feel it across GitHub issues, Discord chats, and Reddit threads. Everyone wants to build agents that do more than chat. They want systems that plan, call tools, adapt, and ship work. The problem is the onramp looks like a freeway … Read more
AI Reasoning Unlocked Your Model Is Smarter Than Its First Answer Introduction Why do strong models sometimes give lazy answers to hard problems? You ask for a plan, you get a platitude. You ask for a proof, you get vibes. Here is the good news. The problem is often not the model. It is how … Read more
Pros and Cons of AI in Education, Coach vs Crutch Introduction You can feel the tension in every classroom and study group right now. Students are learning faster with AI, and teachers keep asking a blunt question that cuts through the hype, is this acceleration real learning or borrowed competence that evaporates under pressure? To … Read more