actually deployed DeepSeek-V2 requires significantly less KV cache than DeepSeek 67B, and thus can serve a much larger batch size. We evaluate the generation throughput of DeepSeek-V2 based on the prompt Hu. A span-extraction dataset for Chinese machine reading comprehension. In K. Inui, J. Jiang, V. Ng, and X. Wan, editors, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing

马绪峰（清华博士后、同济大学助理教授）：人机共生之文化艺术创作 成员及核心研究方向 赛事 奖项 2024 “AI4S Cup LLM 挑战赛” 大模型科学文献分析赛道 一等奖 2024 Kaggl e The Learni ng Agency Lab - PII Data Detecti on 金牌 金山办公2024中文文本智能校对大赛 第二名 2024 法研杯 法律要素争议焦点识别 第二名 AFAC2024金融智能创新大赛

others to lay the foundation for cloud computing. That was the first phase: store it, organize it, serve it. The second wave – still unfolding – has been about supercharging compute for data-heavy AI workloads for now, they remain driven by heavy capital intensity, large-scale infrastructure, and a race to serve exponentially expanding usage.117 Data Centers = Key Beneficiary of AI CapEx Spend118 Data Centers horsepower, primarily from AI-focused data centers. These facilities – purpose-built to train and serve models – are starting to rival traditional heavy industry in their electricity consumption. There

CRM record, hand-off a customer service ticket to a human. Orchestration Agents themselves can serve as tools for other agents—see the Manager Pattern in the Orchestration section. Refund agent, Research