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Pay-per-use (duration) or yearly/monthly ModelArts Studio - Data Intelligent Computing Unit Applies to AI operator processing during data processing.
The platform supports both manual annotation and AI pre-annotation. You can choose an appropriate annotation method based on your needs. The quality of data labeling directly impacts the training effectiveness and accuracy of the model.
The data engineering toolchain provides more than 80 AI operators to meet multi-scenario requirements, greatly improving data processing efficiency and providing high-quality data for large model training.
Quickly Setting Up an Agent Overview With the continuous progress of AI technologies, the application of large models in the medical field is gradually maturing.
CNKI legal AI model: Supports legal AI applications such as legal Q&A, smart case handling, and compliance review. Using a Preset Agent Log in to the agent development platform and choose Application Library in the navigation pane.
Figure 1 Edge Node On the Create Edge Node page, enter the node name and configure the AI accelerator card and log information. If the node has NPUs, select Ascend for AI Accelerator Card and select the accelerator card type.
Writing Prompts A prompt is a piece of text that is used to guide an AI model to generate a specific output. A prompt should contain key information about the target task or domain, such as the theme, style, and format. When writing a prompt, you can set variables in it.
The platform supports both manual annotation and AI pre-annotation. You can choose an appropriate annotation method based on your needs. The quality of data labeling directly impacts the training effectiveness and accuracy of the model.
MCP aims to address the issue of AI models failing to reach their full potential due to data silos. It enables AI applications to securely access and operate on both local and remote data, providing an interface for seamless connectivity with all resources.
The platform supports manual labeling and AI pre-labeling for different datasets. Image captions and video captions support AI pre-labeling. Data combination is a process of combining multiple datasets into a processed dataset based on a specific ratio.
Prompt Engineering Table 4 Concepts related to prompt engineering Concept Description Prompt A prompt is a language used to interact with an AI model, indicating the content needed for model generation. CoT Chain-of-thought (CoT) is a method that simulates human problem-solving.
AI Gallery enables the sharing of AI assets such as models, datasets, and AI applications. In this community, enterprises, individual developers, and other groups can securely share and purchase AI assets.
You can use it for structured and unstructured data search, and use AI vectors for combine search, statistics, and reports. What is Cloud Search Service? What is Huawei Cloud CSS? What is CSS? What is Huawei Cloud's Cloud Search Service?
If you select Video Caption, you can enable the AI pre-annotation function. AI pre-annotation automatically generates labeling content and does not overwrite the original dataset.
Through simple configuration, you can effortlessly create an agent application and conveniently explore AI applications. The platform provides a knowledge import function that enables you to store and manage data and interact with AI applications.
If you select Image Caption, you can enable the AI pre-annotation function. AI pre-annotation automatically generates labeling content and does not overwrite the original dataset.
It offers a zero-code orchestration tool to help developers quickly create AI applications and uses canvas-based node design to cope with complex service scenarios.
In this way, AI agents can communicate with thousands of external tools and data more efficiently and conveniently. Platform Architecture The agent development platform provides one-stop AI application building capabilities.
The platform supports both manual annotation and AI pre-annotation. You can choose an appropriate annotation method based on your needs. The quality of data labeling directly impacts the training effectiveness and accuracy of the model.
Additionally, the platform offers AI pre-labeling capabilities for both text and image datasets.
