Machine LearningML Master 2.0 Achieves Unprecedented Autonomy in Machine Learning Engineering
ML-Master 2.0 solves the long-horizon memory bottleneck in AI agents by introducing Hierarchical Cognitive Caching. By achieving a 56.44 percent medal rate on OpenAI's MLE-Bench, it signals a massive paradigm shift in end-to-end autonomous research.







