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HCIA - AI V3.0 Learning Path This course is applicable to HCIA - AI V3.0.
AI Feature Functions gs_index_advise(text) Description: Recommends an index for a single query statement.
Xu Zhijun, Huawei's Rotating Chairperson, released Huawei's AI strategy, which focused on the current problems that AI can solve and the areas where AI can add the most value.
Supported AI Engines for ModelArts Inference If you import a model from a template or OBS to create an AI application, the following AI engines and versions are supported.
AI Feature Functions db4ai_predict_by_bool (text, VARIADIC "any") Description: Obtains a model whose return value is of the Boolean type for model inference. This function is an internal function. You are advised to use the PREDICT BY syntax for inference.
AI Feature Functions gs_index_advise(text) Description: Recommends an index for a single query statement.
/reinforcement learning, natural language processing, knowledge graph, and feature extraction, and proficient in architecture design * Extensive experience in AI and ability to determine the value and development direction of AI technologies and the AI industry; experience in public
Supported AI Engines for Inference If you import a preset image from a template or OBS to create a model, you can select the AI engines and versions in the table below.
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.
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.
Value range: N/A Example Requests Web AI search Q&A.
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
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 MindInsight Visualization Jobs in JupyterLab Using TensorBoard Visualization Jobs in JupyterLab Previewing Markdown, PDF, and Math Formula in JupyterLab Parent topic: Using Notebook for AI Development and Debugging
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.
Obtaining the Preset AI Frameworks Supported by a Training Job Function This API is used to query the list of preset AI frameworks supported by the current system. This API is used when you need to know the preset AI frameworks supported by the system.
Huawei Cloud has more than 1,000 AI projects and we have always adhered to the "AI for Industries" strategy.
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.
Release History Table 8 AI Data Acceleration Engine add-on Add-on Version Supported Cluster Version New Feature Community Version 1.0.5 v1.28 v1.29 v1.30 v1.31 CCE standard and Turbo clusters support the AI Data Acceleration Engine add-on. 1.0.5 Parent Topic: AI Data Acceleration