Using AI Studios
AI Studios Overview (Technical Preview)
Using RAG Studio
RAG Studio Overview
Key features for RAG Studio
Using RAG Studio
Use cases for RAG Studio
Using Fine Tuning Studio
Fine Tuning Studio Overview
Key Features for Fine Tuning Studio
Using Fine Tuning Studio
Use case for Fine Tuning Studio - Event ticketing support
Using Synthetic Data Studio
Synthetic Data Studio Overview
Synthetic Data Studio use cases
Key Features of Synthetic Data Studio
Launching Synthetic Data Studio within a project
Generating synthetic data for fine-tuning models
Evaluating generated datasets for fine-tuning LLMs
Managing generated datasets
Use case: Data generation for ticketing system using Synthetic Data Studio
Generating synthetic data for a ticketing use case using the Supervised Fine-Tuning workflow
Evaluating the generated dataset
Using Agent Studio
Agent Studio Overview
Key Features of Agent Studio
Use Cases of Agent Studio
Deploying Agent Studio using the ML Runtime Image
Prerequisite: Adding Agent Studio using the ML Runtime Image
Launching when AI Studios mode is enabled
Launching when AI Studios mode is disabled
Migration to ML Runtime Mode
Supported Inference Service Providers
Security recommendations for Agent Studio
Agentic Workflows
Advanced features of Agentic Workflows
Creating a workflow
Use case: Portfolio Advisory Workflow
Secure Tool Execution and Development
Tool Execution
File Paths and Directories within the Sandbox
Using Artifact File Directory
Using Workflow Data Directory
Directory Comparison
Use Case: Accessing Workflow Data and Storing in Artifact Directory
Impact of Sandboxing on Tool Execution Directory Access
Migration Guide for Common Use Cases
Use Case: Tools Accessing Data Connections
Use Case: Tools Accessing CML Project Files
Customizing Tool Execution Environment
Impact of Upgrades on Draft Workflows & Deployment