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A microagent was used in an accounting system to extract payment details from free text, emphasizing that setting clear boundaries between components is more critical than the choice of AI model.
The author shares experiences and insights from nnScaler to large-scale distributed training systems, discussing correctness, flexibility, boundary expansion, and the challenges brought by post-training and reinforcement learning.