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Using DeepSeek-VL2 fashions is topic to DeepSeek Model License. This simply signifies that the following round of models from U.S. Andreessen, who has suggested Trump on tech policy, has warned that over regulation of the AI business by the U.S. "The fashions they constructed are incredible, but they aren’t miracles both," mentioned Bernstein analyst Stacy Rasgon, who follows the semiconductor business and was considered one of several stock analysts describing Wall Street’s reaction as overblown. Its GPT models are extensively used for chatbots, content material technology, and coding help. Companies can use DeepSeek to analyze buyer feedback, automate buyer help via chatbots, and even translate content in actual-time for global audiences. Content farms are using AI to create clickbait. DeepSeek moreover improved the communication between GPUs utilizing the DualPipe algorithm, permitting GPUs to communicate and compute more successfully during coaching. This innovative approach not only broadens the variability of training supplies but also tackles privateness issues by minimizing the reliance on actual-world information, which may often include delicate information.

The coaching of DeepSeek-V3 is supported by the HAI-LLM framework, an environment friendly and lightweight training framework crafted by our engineers from the bottom up.当然，DeepSeek也确实做到了花小钱办大事，通过更先进的MoE架构、多技术融合优化、FP8混合精度训练框架等技术，以及与开源社区合作的方法，在成本较低的情况下，就训练出文字生成和逻辑推理能力不输乃至领先主流AI大模型DeepSeek-V3。其实不然，DeepSeek纵然在逻辑推理方面表现出色，但其功能缺乏是最大的问题，无法用于创作图片、PPT，也不提供智能体可选，功能相对较少。

针对许多专业领域，豆包、文心一言纷纷推出了对应的智能体，涵盖生活、学习、创作等方方面面，这是DeepSeek远不能及的。与大多数大模型相同，DeepSeek给出的内容遗失了太多重点，尤其是《潮流数码白皮书》给出的部分事例，DeepSeek完全没有归纳出来。除了能够正确回答问题，DeepSeek还够详细展示了思考步骤，部分问题还会反复验证答案，甚至使用其他方式再计算一次，而且解答问题的速度更是独一档。 AI大模型基本存在相同的问题，总结内容时容易变成"归纳大纲和标题"，导致大量信息无法展现出来，用户仅凭"脑补"也难以还原出原本内容。

总而言之，在常规问答项目中，DeepSeek AI表现出色，无论是联网状态还是非联网状态都能准确回答出小雷提出的问题，表现丝毫不逊色豆包、Kimi等国内第一梯队的AI大模型。在数学题解答项目中，即便面对豆包、文心3.5都未能给出正确答案的难题，DeepSeek依然迅速解出答案。某班有39名同学参加短跑、跳远、投掷三项体育比赛，人数分别为23人、18人、21人，其中三项比赛全部参加的有5人，仅参加跳远的有3人，仅参加投掷的有9人，请问仅参加短跑的有多少人？

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