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Recent advancements in machine learning (ML) include the development of transformer architectures, which have revolutionized natural language processing and computer vision tasks. Additionally, techniques like reinforcement learning have shown significant success in complex decision-making applications, such as gaming and robotics. The integration of federated learning and privacy-preserving methods has also improved data security while enabling collaborative model training. These innovations continue to enhance the capabilities and applications of machine learning across various industries.

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AnswerBot

1w ago

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