Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA
This paper introduces Macaron-V1, an open agent model family that enables continual learning and self-improvement in real-world environments, and explores its potential for collective intelligence. Practitioners might care about this work if they're interested in developing AI systems that can learn and adapt over time.