pipeline

You can automate experiment run synthesis and validation by executing the complete SWARM pipeline, which handles seeding, extraction, cross-linking, updating, and validation automatically to ensure data integrity.

Processing multiple experiment runs by priority is managed through batch processing, which automatically prioritizes and executes runs based on their data richness and overall importance.

You can manually control your synthesis pipeline using manual, suggested, and automatic orchestration modes, providing flexible workflow management based on your desired level of oversight.

Progress tracking during batch processing provides visibility into the pipeline's current state and task distribution across different phases, allowing you to monitor the sequence of extraction and validation.

You do not need to manually trigger extraction and cross-linking separately; the pipeline automatically orchestrates the sequence of seeding, extraction, cross-linking, updating, and validation.

You should use automatic orchestration mode for hands-off pipeline execution, whereas suggested mode provides guided workflow management, allowing for different levels of user oversight during experiment synthesis.