检测到您已登录华为云国际站账号，为了您更好的体验，建议您访问国际站服务网站 https://www.huaweicloud.com/intl/zh-cn
不再显示此消息
检测到您已登录华为云国际站账号，为了您更好的体验，建议您访问国际站服务网站 https://www.huaweicloud.com/intl/zh-cn
不再显示此消息
Return type: text ai_watchdog_detection_warnings() Description: Obtains the risk alarm information of the AI watchdog. The SYSADMIN or MONADMIN access permission is required.
Web AI Search Q&A Function Web AI Search Q&A URI POST /v1/{project_id}/applications/{application_id}/uni-search/web/chat Table 1 Path Parameters Parameter Mandatory Type Description project_id Yes String Definition: Project ID.
AI Innovative Application And Commercialization Acceleration Camp AI Innovative Application And Commercialization Acceleration Camp Romote AI application innovation and accelerate the commercialization process in global markets Romote AI application innovation and accelerate the commercialization
AI Feature Functions gs_index_advise(text) Description: Recommends an index for a single query statement. Parameter: SQL statement string Return type: record hypopg_create_index(text) Description: Creates a virtual index.
Handling AI Inspection Appeals Scenario Inspectors can view the inspected call list, click View to view the inspected call details, or modify the inspection result and view the inspection process by title on the Appeal Details page.
Service Deliverables AI Platform Implementation Service Service Deliverable AI Platform Implementation Service - Basic AI Training Platform Delivery Function List AI Inference Platform Delivery Function List AI Platform Function Recommendation Report AI Platform Implementation Service
Figure 2 Abnormal path Parent topic: Deploying AI Applications as Real-Time Services
Optimizing AI Performance Practice: Improving model performance through training optimization Parameter tuning policy: Adjust parameters such as the flash attention, parallel splitting policy, micro batch size, and recomputation policy.
File from JupyterLab to a Local PC Using TensorBoard Visualization Jobs in JupyterLab Parent topic: Using Notebook for AI Development and Debugging
The AI application is created. In the AI application list, you can view the created AI application and its version. When the status changes to Normal, the AI application is successfully created.
After it goes offline, you can use the templates for AI engine and model configurations by choosing OBS, setting AI Engine to Custom, and importing your custom AI engine.
Most importantly, Serverless AI is compatible with mainstream AI frameworks, allowing developers to easily integrate their existing AI tools and models. Serverless AI is also a very significant development for cloud service providers.
Huawei Cloud has more than 1,000 AI projects and we have always adhered to the "AI for Industries" strategy.
The AI application is created. In the AI application list, you can view the created AI application and its version. When the status changes to Normal, the AI application is successfully created.
AI Application Description Provide AI application descriptions to help other AI application developers better understand and use your applications. Click Add AI Application Description and set the Document name and URL.
AI Application and Configuration AI Application Source Select My AI Applications or My Subscriptions based on your requirements. AI Application and Version Select the AI application and version that are in the Normal state.
In-Cloud Notebook, Case Access in Seconds In-Cloud Notebook, Case Access in Seconds E2E AI development is managed in ModelArts Studio, boosting efficiency while maintaining records of the entire AI development process.
Monitoring This page displays resource usage and AI application calls. Resource Usage: includes the used and available CPU, memory, GPU, and NPU resources. AI Application Calls: indicates the number of AI application calls.
Figure 3 Image prediction Parent topic: Deploying AI Applications as Real-Time Services
Request Path URL used for calling the AI application API in a batch service, and also the request path of the AI application service. Its value is obtained from the url field of apis in the AI application configuration file.
