DeepSeek-V3
DeepSeek-V3 is a powerful Mixture-of-Experts (MoE) language model with 671 billion total parameters and 37 billion activated parameters per token. It achieves efficient inference and cost-effective training through innovative load balancing strategies and multi-token prediction training objectives. The model is pre-trained on 14.8 trillion diverse and high-quality tokens, and it outperforms other open-source models in various benchmarks.
مقدمة مفصلة
DeepSeek-V3 is a cutting-edge AI model that has achieved a notable breakthrough in inference speed, making it one of the fastest models available. It excels in multiple benchmarks, including language understanding, code generation, and mathematical problem-solving. DeepSeek's architecture, which includes Mixture of Experts (MoE), allows it to activate a subset of parameters efficiently, enhancing its performance while maintaining a large total parameter count. This model is designed to provide high accuracy and efficiency, making it suitable for a wide range of applications.
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Blueprint
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