Large language models (LLMs) have become the engines behind today’s most remarkable advances in artificial intelligence, yet their inner workings remai
Large language models (LLMs) have become the engines behind today’s most remarkable advances in artificial intelligence, yet their inner workings remain shrouded in mystery. As these models power everything from generating and reviewing computer code to near-human customer support, understanding how they actually “think” is more than an academic exercise-it’s essential for building reliable, trustworthy AI.
Our analysis by Alejandro Alcocer takes you on a deep dive into the hidden architecture of LLMs, drawing on recent research to reveal how these models break down problems, form abstractions, and even plan ahead. From the tangled web of neurons and features to the latest breakthroughs in circuit tracing, we uncover the surprising ways LLMs process information-and what that means for the next generation of AI innovation.
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