From Rock-Paper-Scissors to BabyAGI - Harnessing LLMs with the Wolfram Language

Explore the capabilities of large language models (LLMs) through a 34-minute Wolfram presentation that begins with an analysis of LLM performance in rock-paper-scissors, showcasing their decision-making and pattern recognition abilities. Progress to an in-depth examination of autonomous agent implementation, focusing on a BabyAGI version developed within the Wolfram Language framework. Gain insights into the practical applications and potential of LLMs in both game theory and advanced AI systems.