Author name: Eyal Doron

ChatGPT, Claude, Gemini, Llama-the AI models making headlines all share something in common. They’re all built on an architecture called

Some AI models are locked away like trade secrets. Others are freely available for anyone to download, modify, and use.

Every time a new AI launches, companies boast about “beating benchmarks” and “achieving state-of-the-art results.” You’ve seen headlines like “GPT-4

An AI aces every practice test but fails the real exam. It memorized the answers instead of learning the concepts.

How does AI know when it’s wrong? And more importantly, how does it know *how* wrong it is? The answer

How does AI actually learn from its mistakes? When a neural network makes a wrong prediction, something remarkable happens-it traces

When AI experts talk about “training a model,” they’re really talking about adjusting millions or billions of tiny numbers called

When you check the weather on your phone, book a flight, or click “Sign in with Google,” APIs are working