<p> DeepSeek-V3, is a open-weights large language model. <strong>DeepSeek-V3's key features</strong> include its remarkably low development cost, achieved through innovative techniques like inference-time computing and an auxiliary-loss-free load balancing strategy. </p><p>The model's architecture utilizes Mixture-of-Experts (MoE) and Multi-head Latent Attention (MLA) for efficiency. Extensive testing on various benchmarks demonstrates strong performance comparable to, and in some cases exceeding, leading closed-source models. </p><p>Finally, the text provides recommendations for future AI hardware design based on the DeepSeek-V3 development process.</p><p><a href="https://arxiv.org/pdf/2412.19437v1" target="_blank" rel="ugc noopener noreferrer">https://arxiv.org/pdf/2412.19437v1</a></p>