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The DeepSeek-V4.1-Flash model, a multimodal Mixture-of-Experts model with 552B backbone parameters and support for contexts of up to one million tokens, is introduced, substantially improving cost efficiency for agentic workloads and pushing the limits of KV cache compression.
Meta-learning a temporal aggregation policy in federated learning can significantly improve the accuracy and coherence of longitudinal medical report generation, even with strict privacy constraints.