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ARC-AGI is a benchmark dataset and experimental framework designed to evaluate and advance artificial general intelligence by testing systems on abstract reasoning tasks that require human-like problem-solving abilities. It consists of a curated set of tasks where models must infer patterns from input-output examples and apply those rules to new unseen cases, without relying on memorization or prior training data.
AGI-C-API es una implementación en C de funciones para el desarrollo de aplicaciones AGI (Asterisk Gateway Interface). Con esta librería se puedes realizar aplicaciones escritas es C para el control de llamadas de un servidor Asterisk usando todas los comandos AGI.
En esta versión R1 están implementados todos los comandos descritos en la documentación Asterisk 11 AGI Commands.