PanguLargeModels
PanguLargeModels

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      All results for "" in this service

      • Service Overview
        • What Is PanguLM?
        • Product Advantages
        • Use Cases
        • Functions
          • Workspace Management
          • Data Engineering
          • Model Development
          • Agent Development
        • Model Capabilities and Specifications
          • Third-Party Large Models
        • Basic Knowledge
          • Basic Process of Large Model Development
          • Basic Concepts
        • Security
          • Shared Responsibilities
          • User Authentication and Access Control
          • Data Protection
          • Auditing
        • Permissions Management
        • Notes and Constraints
        • Related Services
      • Billing
        • Billing Overview
        • Billing Mode
        • Billing Item
        • Changing the Billing Mode
        • Renewal
        • Arrears
        • Billing Termination
        • Billing FAQ
          • What Are the Differences Between Yearly/Monthly and Pay-per-Use Billing?
          • Which Is More Cost-Effective, Yearly/Monthly or Pay-per-Use Billing?
          • Can a Resource Be Billed Using Both Yearly/Monthly and Pay-per-Use Modes?
          • Can I Switch Between Yearly/Monthly and Pay-per-Use Billing Modes?
          • How Do I Renew Resources?
      • Getting Started
        • Using the Pangu Pre-trained NLP Model for Text Dialog
        • Using the Pangu NLP Model to Create a Python Coding Assistant Application
      • User Guide
        • Process of Using PanguLM
        • Preparations
          • Applying for Trial Use of ModelArts Studio Large Model Development Platform
          • Subscribing to the PanguLM Service
          • Configuring Service Access Authorization
          • Creating and Managing Workspaces
            • Workspace Overview
            • Creating and Managing Workspaces
            • Managing Workspace Members
        • Accessing Models in the Model Square
        • Using Data Engineering to Create a Dataset
          • Introduction to Data Engineering
          • Process of Using Data Engineering
          • Dataset Format Requirements
            • Format Requirements for Text Datasets
            • Format Requirements for Image Datasets
            • Format Requirements for Video Datasets
            • Format Requirements for Audio Datasets
            • Format Requirements for Weather Datasets
            • Format Requirements for Other Datasets
          • Importing Data to the Pangu Platform
          • Processing Datasets
            • Dataset Processing Scenarios
            • Processing Text Datasets
              • Processing Text Datasets
              • Synthesizing Text Datasets
              • Labeling Text Datasets
              • Combining Text Datasets Based on a Specific Ratio
            • Processing Image Datasets
              • Processing Image Datasets
              • Labeling Image Datasets
              • Combining Image Datasets Based on a Specific Ratio
            • Processing Video Datasets
              • Processing Video Datasets
              • Labeling Video Datasets
            • Processing Weather Datasets
            • Processing Audio Datasets
              • Processing Audio Datasets
              • Labeling Audio Datasets
            • Processing Other Datasets
            • Managing Processing Operators
              • Introduction to Preset Processing Operators
                • Text Dataset Processing Operators
                • Video Dataset Processing Operators
                • Image Dataset Processing Operators
                • Weather Dataset Processing Operators
                • Audio Dataset Processing Operators
              • Custom Data Processing Operators
            • Managing Processed Datasets
            • Managing Processing Task Resources
            • Generating a Dataset in a Processing Task
          • Publishing a Dataset
            • Dataset Publishing Scenarios
            • Publishing Text Datasets
              • Evaluating Text Datasets
              • Publishing Text Datasets
            • Publishing Image Datasets
              • Evaluating Image Datasets
              • Publishing Image Datasets
            • Publishing Video Datasets
              • Evaluating Video Datasets
              • Publishing Video Datasets
            • Publishing Audio Datasets
            • Publishing Weather Datasets
            • Publishing Other Datasets
            • Managing Published Datasets
          • Converting the Dataset Format
            • Constraints
            • Format Conversion Process
            • Conversion Operators
          • Common Errors and Solutions for Data Engineering
        • Developing a DeepSeek Model
          • DeepSeek Models
          • Using Data Engineering to Build a DeepSeek Model Dataset
          • Training a DeepSeek Model
            • Creating a DeepSeek Model Training Job
            • Viewing the Training Status and Metrics of the DeepSeek Model
            • Publishing the Trained DeepSeek Model
            • Managing DeepSeek Model Training Jobs
          • Compressing a DeepSeek Model
          • Deploying a DeepSeek Model
          • Evaluating a DeepSeek Model
            • Creating a DeepSeek Model Evaluation Dataset
            • (Optional) Creating an API
            • Creating a DeepSeek Model Evaluation Job
            • Viewing the DeepSeek Model Evaluation Report
            • Managing DeepSeek Model Evaluation Jobs
          • Calling a DeepSeek Model
        • Developing a Prompt Engineering Project
          • What Is Prompt Engineering?
          • Obtaining a Prompt Template
          • Writing Prompts
            • Creating a Prompt Engineering Project
            • Writing Prompts
            • Previewing Prompt Outcomes
          • Comparing Outcomes Between Prompts
            • Setting Candidate Prompts
            • Comparing Outcomes Between Prompts
          • Evaluating the Prompt Outcomes in Batches
            • Creating a Prompt Evaluation Dataset
            • Creating a Prompt Evaluation Task
            • Viewing the Prompt Evaluation Result
          • Publishing Prompts
        • Developing an Agent
          • Agent Development Platform Overview
            • Platform Overview
            • Application Scenarios
            • Function Overview
            • Procedure
          • Using a Preset Agent in the Application Library
          • Agent Setup and Configuration
            • Quickly Setting Up an Agent
            • Improving Skills for Agents
              • Configuring a Plug-in
              • Configuring a Workflow
              • Configure a Knowledge Base
              • Configuring an MCP Service
              • Improving Dialog Experience of Agents
              • Debugging an Agent
            • Using APIs to Call an Agent
            • Managing Agents
          • Workflow Development and Configuration
            • Workflow Introduction
            • Creating a Workflow
              • Creating a Workflow
              • Debugging and Publishing a Workflow
              • Dialogue-based Workflows and Task-based Workflows
              • Workflow Node Configuration Reference
                • Start and End Nodes
                • LLM Node
                • Knowledge Repo Node
                • IntentDetection Node
                • Plugin Node
                • Branch Node
                • Code Node
                • Message Node
                • Questioner Node
                • Loop Node
                • Variable Assignment Node
                • Aggregation Node
                • Input Node
                • Workflow Node
                • MCP Service Node
                • Agent Node
            • Using APIs to Call a Workflow
            • Managing Workflows
          • Plug-in Development and Configuration
            • Introduction to Plug-ins
            • Creating a Plug-in
              • Creating a Plug-in Based on an API
              • Importing Plug-ins Using JSON Files
            • Managing Plug-ins
          • Knowledge Base Development and Configuration
            • Knowledge Base Introduction
            • Creating a Knowledge Base and Uploading Documents
            • Knowledge Base Hit Test
            • Managing Knowledge Bases
          • MCP Service Development and Configuration
            • MCP Service Introduction
            • Creating an MCP Service
            • Managing MCP Services
            • Subscribing to the MCP Service
          • Common Errors and Solutions During Agent Development
        • Managing Workspace Assets
          • Introduction to Pangu Model Workspace Assets
          • Managing Pangu Data Assets
          • Managing Pangu Model Assets
          • Managing Pangu Component Assets
        • Managing Resource Pools
          • Creating an Edge Resource Pool
      • API Reference
        • Before You Start
          • Overview
          • API Calling
          • Request URI
          • Concepts
        • Calling REST APIs
          • Making an API Request
          • Authentication
          • Response
        • API
          • Model Inference APIs
            • Third-Party Models
              • DeepSeek
          • Data Engineering APIs
            • Querying Data Lineages
            • Permanently Deleting a Dataset
          • Agent APIs
            • Calling an Application
            • Calling a Workflow
          • Token Calculator
        • Appendix
          • Status Codes
          • Error Codes
          • Obtaining the Project ID
          • Obtaining the Model Deployment ID
      • General Reference
        • Glossary
        • Service Level Agreement
        • White Papers
        • Endpoints
        • Permissions