-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 Microsoft, Google, Anthropic, Meta, Apple, Alibaba, Deepseek, UK Government, US Department of Homeland Security. China data may be subject to informational limitations due to government restrictions. 3/23: AI assistant focused on safety & inter- pretability 3/24: USA Department of Homeland Security unveils its AI Roadmap Strategy 5/24: OpenAI releases GPT-4o, which has full multimodality

They decided to get AI into the hands of employees—working closely with Legal, Compliance, and IT Security teams to ensure responsible use. They rolled out ChatGPT Enterprise globally, then let people discover now build consistently 
 high-quality apps, faster, without having to get into the source code. Security, guardrails, and routing logic are all built in. 18 AI in the EnterpriseAs a result, AI app development the EnterpriseThe trusted AI enterprise platform Security and privacy at a glance For our enterprise customers, nothing is more important than security, privacy and control. 
 Here’s how we ensure it:

extensive and intricate rulesets, making updates costly or error-prone, 
 for example performing vendor security reviews. 03 Heavy reliance on unstructured data: Scenarios that involve interpreting natural language robust authentication and authorization protocols, strict access controls, and standard software security measures. 24 A practical guide to building agents Think of guardrails as a layered defense mechanism Add new guardrails based on real-world edge cases and failures you encounter 03 Optimize for both security and user experience, tweaking your guardrails as your
 agent evolves. 27 A practical guide to building

factors, the email should be classified as **IMPORTANT**. The bug in the contact form is a serious security risk, and the sender’s credibility is unknown. The recipient should take immediate action to fix

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

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