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Understanding Emergent Properties in Machine Learning
This chapter delves into the phenomenon of emergent properties in machine learning, emphasizing their significance in relation to training data and neural network scalability. The discussion highlights the unpredictable nature of performance jumps resulting from the simultaneous learning of foundational skills and the importance of researching task decomposition to understand capability emergence.