Explaining generative language models to (almost) anyone

Generative AI has gained significant attention, making it crucial for researchers and engineers to communicate its nuances clearly. Generative language models use the transformer architecture, self-supervised learning for pretraining, and alignment techniques to meet human expectations. Understanding these components helps demystify AI and prevents public skepticism and overly-restrictive regulations.