Understanding Large Language Models Series

The Illusion of Thinking in Large Language Models

by Nat Currier 26 min read
AILarge Language ModelsMachine LearningCognitive Science
SERIES

Understanding Large Language Models

Part 23 of 26
Previous Big Questions for Dumb LLMs: Understanding Model Limitations
Next Open Source vs. Proprietary LLMs: What's the Difference?
Excerpt

Explore how large language models create a compelling illusion of thought through pattern matching and statistical prediction, despite lacking true understanding or consciousness.

SERIES

Understanding Large Language Models

Part 23 of 26
Previous Big Questions for Dumb LLMs: Understanding Model Limitations
Next Open Source vs. Proprietary LLMs: What's the Difference?