Abstract

Artificial General Intelligence (AGI), one of the most crucial domains of Artificial Intelligence (AI), which aims to develop systems that are capable of performing broad-scale cognitive tasks which require human intelligence and tasks that require more than narrow intelligence. The major challenge is to identify such tasks that could be termed as AGI tasks and determining the techniques required to attain general intelligence. This review paper clearly defines the category of AGI tasks and explores the existing techniques for AGI development. A novel framework is proposed using tools like Autogen, LangChain, and Phidata to develop a multi-agentic workflow for performing AGI tasks that would define a future path towards AGI development.

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