Cognitive Maps in Large Language Models - Multiscale Predictive Representations

Cognitive Maps in Large Language Models - Multiscale Predictive Representations

Explore a conference talk examining cognitive maps in large language models, focusing on multiscale predictive representations in hippocampal and prefrontal hierarchies. Delve into the comparison between GPT-4 32K and GPT-3.5 Turbo under various temperature settings, analyzing their performance in graph navigation and shortest path problems. Investigate the potential of chain of thought prompts to enhance LLMs' cognitive map capabilities. Consider the implications of errors and response latencies in understanding AI systems, while acknowledging the fundamental differences between LLMs and human cognition.