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  • INTRODUCTION
  • Welcome
    • Compute
    • Models
    • Users and groups
    • Identity providers
      • Google
      • GitHub
      • Microsoft
      • PingOne
    • Storage policy
    • Backup and restore
  • Assistant
    • Prompt examples
    • Manage chats
    • Python session status
    • Configuration
  • Best practices
    • What is synthetic data?
    • Privacy protection
    • Context processing in multi-table datasets
  • Connectors
    • Create a connector
      • MySQL
      • PostgreSQL
      • SQL Server
      • Oracle
      • MariaDB
      • Apache Hive
      • BigQuery
      • Snowflake
      • Databricks
      • S3 storage
      • Microsoft Azure blob storage
      • Google Cloud object storage
      • Connector access types
      • Use as a data source
      • Use as a data destination
      • Use a local database
    • Manage connectors
  • Databricks
  • Datasets
  • Generators
    • Tabular synthetic data
    • Prepare your data
      • CSV requirements
      • Privacy best practices for original data
    • Train a new generator
      • Add data
      • Set table relationships
        • Two-table scenario
        • Multi-table scenario
        • Manage primary keys
        • Relationship diagram
      • Set encoding types
      • Improve model accuracy
      • Speed up training
      • Configure time-series models
      • Fine-tune privacy mechanisms
      • Enable differential privacy
      • Enable flexible generation
    • Evaluate generator quality
    • Export and import generators
    • Manage generators
    • Live-probe generators
    • _RARE_ values
    • Architecture
    • Requirements
    • Hardware profiling
    • Configure
      • Compute resources
      • External PostgreSQL database
      • Internal image repository
      • Domain TLS certificate
      • Ingress controllers
        • HAProxy
        • NGINX
        • Istio Virtual Service
    • Deploy
      • Deployment checklist
      • MOSTLY AI Helm chart
      • Deploy to AWS EKS
      • Deploy to OpenShift
      • Deploy to Google GKE
      • Deploy to Azure AKS
      • Deploy to minikube
      • Deploy via AWS Marketplace
    • Troubleshoot
      • Common issues
      • AWS EKS
      • OpenShift
      • Azure AKS
      • minikube
    • Compliance
  • Notifications
  • Organizations
    • Create an organization
    • Edit organization settings
    • Manage resources
    • Manage members
    • Delete an organization
    • Roles and permissions
  • Public and private resources
  • Synthetic Data SDK by MOSTLY AI
  • Quick start
    • For Model creators
    • For Data consumers
    • For Fine-tuning LLMs
  • Release lifecycle and support
  • Search and filtering
  • Support
  • Synthetic datasets
    • Generate a new synthetic dataset
    • Select a compute
    • Set sample size and temperature
    • Rebalance columns
    • Data imputation
    • Fair synthetic data
    • Conditional simulation
    • Deliver synthetic data
    • Evaluate synthetic data quality
    • Manage synthetic datasets
  • Tutorials
  • Usage and credits
  • User profiles
  • What is new in MOSTLY AI
administrationIdentity providersGitHub

Use GitHub identity provider with MOSTLY AI