Even networks lengthy thought of “untrainable” can study successfully with a little bit of a serving to hand. Researchers at MIT’s Laptop Science and Synthetic Intelligence Laboratory (CSAIL) have proven {that a} temporary interval of alignment between neural networks, a way they name steering, can dramatically enhance the efficiency of architectures beforehand thought unsuitable for…