Fine-Tuning (SFT) for DeepSeek-V2 Chat (SFT). Finally, we follow DeepSeekMath (Shao et al., 2024) to employ Group Relative Policy Optimization (GRPO) to further align the model with human preference and produce DeepSeek-V2 of DeepSeek-V2, we partition all routed experts into ? groups {E1, E2, ..., E?}, and deploy each group on a single device. The device-level balance loss is computed as follows: LDevBal = ?2 ? ∑︁ ?=1 adopt Group Relative Policy Optimization (GRPO) (Shao et al., 2024), which foregoes the critic model that is typically with the same size as the policy model, and estimates the baseline from group scores

(workitem) 2 下 罗汪| 门一一 Compute Unit 和 | (Work group) 名 | | | Apady+m in_channel x+p -一一 人 下| [lm ] Cooperative Fetching Lets threads (work item) in the same thread block (work group) cooperatively fetch dependent data https/www khronos.org/registry/DpenCLspecs/opencl-1.2.pdf Alibaba

-9% 1/18 4/25 Source: University of Maryland’s UMD-LinkUp AIMaps (in collaboration with Outrigger Group) (5/25) Change in USA IT Job Postings, Indexed to 1/18 (AI = Blue, Non-AI = Green) Details on To address the urgent and growing burden of data entry, in October 2023, The Permanente Medical Group (TPMG) enabled ambient AI technology for 10,000 physicians and staff to augment their clinical raw capability, customization, and cost efficiency. And it is developers – more than any other group – who have historically been the leading edge of AI usage. The recent trend appears increasingly

Hexagon DSP (via llvm), Ascend NPU, and more Green: Linaro 96BoardsLinaro for TVM ● Linaro AI/ML group can be a good fit for TVM collaborations on Arm based platforms to support more devices with various

AI，欢迎关注获取更多原创教程。资 料用心打磨且开源，是为了帮助更多人了解获取 AI 知识，严禁拿此资料引流、出书、等形式的商业活动 通用性更强。大模型和我们自己基于某个特定数据集（如 ImageNet、20News- Group）训练的模型在本质上存在一些重要区别。主要区别之一，大模型更 加通用，这是因为它们基于大量多样化的数据集进行训练，涵盖了不同领域 和任务的数据。这种广泛的学习使得大模型具备了较强的知识迁移能力和