Generative AI Explained: How Machines Create Original Ideas

Generative AI creates new text, images, audio, video, and code by learning patterns from massive datasets and then sampling plausible outputs—most commonly with transformers for language and diffusion for visuals—refined by feedback and grounded in up‑to‑date information when needed.​ The core idea Key model families How outputs are sampled Making models useful and safe Multimodal … Read more

Inside the Mind of ChatGPT: How AI Understands Human Language

ChatGPT doesn’t “understand” like humans—it predicts the next token using a transformer network that turns your words into vectors and uses self‑attention to capture context; with enough data and feedback, this yields fluent, helpful text that feels like understanding.​ Tokens, vectors, and context The transformer’s core trick: self‑attention Why replies feel coherent How it recalls … Read more