Feb. 2, 2024, 11:18 p.m. | Wolfram

Wolfram www.youtube.com

In this presentation, we first explore large language models (LLMs) tackling the classic game of rock-paper-scissors, revealing nuanced decision-making and pattern recognition. Transitioning from game strategies, we then delve into the details of implementing an autonomous agent. Namely, a version of BabyAGI within the Wolfram Language ecosystem.

agent autonomous babyagi decision ecosystem explore game language language models large language large language models llms making paper pattern recognition presentation recognition strategies wolfram

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote