<p>This episode explores the hidden engine behind how language models move from knowing to creating. It reveals why generation happens step by step, why speed has hard limits, and why training and usage behave so differently. Once you see this mechanism, the way models write, reason, and sometimes stall will make immediate sense.</p>

This episode explores the hidden engine behind how language models move from knowing to creating. It reveals why generation happens step by step, why speed has hard limits, and why training and usage behave so differently. Once you see this mechanism, the way models write, reason, and sometimes stall will make immediate sense.

Module 1: The Autoregressive Assumption | How Language Emerges in AI

The AI Concepts Podcast is my attempt to turn the complex world of artificial intelligence into bite-sized, easy-to-digest episodes. Imagine a space where you can pick any AI topic and immediately grasp it, like flipping through an Audio Lexicon - but even better! Using vivid analogies and storytelling, I guide you through intricate ideas, helping you create mental images that stick. Whether you’re a tech enthusiast, business leader, technologist or just curious, my episodes bridge the gap between cutting-edge AI and everyday understanding. Dive in and let your imagination bring these concepts to life!

Share Module 1: The Autoregressive Assumption | How Language Emerges in AI

Sign up to save your podcasts

Module 1: The Autoregressive Assumption | How Language Emerges in AI

Module 1: The Autoregressive Assumption | How Language Emerges in AI