Cognitive Maps in Large Language Models - Multiscale Predictive Representations
Santa Fe Institute via YouTube
Overview
Syllabus
Intro
Multiscale Predictive Cognitive Maps In Hippocampal & Prefrontal hierarchies
Cognitive Maps Learned representations of relational structures For goal-directed multistep planning & inference
Conditions
GPT-4 32K vs. GPT-3.5 Turbo Temperature 0, .5, 1
GPT-4 32K is comfortable with deeper trees
GPT-4 fails shortest path in graphs with dense community structure & sometimes hallucinates edges
Can chain of thought prompts (COT) Improve LLMs' cog map performance?
In Cog & neuro-sciences Errors & response latencies are windows into minds & brains & AI/LLMs?
LLMs are not comparable to one person Specific latent states in response to prompt may appear so But they don't qualify for mental life
Taught by
Santa Fe Institute