Sakana AI’s groundbreaking Transformer-squared model introduces real-time self-learning, allowing AI to adapt instantly to new tasks without retraining or extra data.
Using singular value decomposition (SVD) and dynamic z-vectors, this revolutionary approach fine-tunes the model’s skills on the fly, outperforming traditional fine-tuning methods.
This innovation marks a major leap in AI efficiency, flexibility, and practicality for diverse applications.