<ul><li>DeepSeek is built on the bedrock of deep learning with a focus on optimizing complex functions using gradient-based methods.</li><li>Key mathematical concepts include loss function and optimization, backpropagation, and activation functions.</li><li>DeepSeek's architectural insights include layered structure, parallelism, and scalability.</li><li>Practical implications include transfer learning and potential future enhancements.</li></ul>

DeepSeek: A Deep Dive into the Mathematical Foundations and Architectural Insights

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