Robert Lange

Robert Lange · Follow Published in Towards Data Science · 9 min read · 11 hours ago — As artificial intelligence advances, training large-scale neural networks, including large language models, has become increasingly critical. The growing size and complexity of these models not only elevate the costs and energy requirements associated with training but also highlight the necessity for effective hardware utilization. In response to these challenges, researchers and engineers are exploring distributed decentralized training