mini-AGI
Continual learning AI trained from scratch on modest hardware
Visit mini-AGI ↗
link: rel="ugc noopener"
mini-AGI is a continual learning model designed to train on resource-constrained devices, specifically 8GB VRAM laptops. It processes data as a batch-1 stream, enabling incremental learning without requiring large memory footprints or batch processing.
The project demonstrates training an AGI-style model from scratch using minimal hardware resources, making advanced machine learning accessible on standard consumer laptops.
Discussion