We attempt to solve the Abstraction and Reasoning Corpus (ARC) Challenge
using Large Language Models (LLMs) as a system of multiple expert agents. Using
the flexibility of LLMs to be prompted to do various novel tasks using
zero-shot, few-shot, context-grounded prompting, we explore the feasibility of
using LLMs to solve the ARC Challenge. We firstly convert the input image into
multiple suitable
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