How ike turns one training run into swappable modules
Modular Execution Pipeline Architecture
01 // INJECTABLE INPUT MODULES RAW DATA SOURCE CONFIG FILES FORWARD STEP [SWAPPABLE TASK] DATA PROCESSORS [SWAPPABLE TRANSFORM] PEFT / LORA PARAMS [OPTIONAL ADAPTER] 02 // CORE PIPELINES & DISTRIBUTED SYNC TRAINING PIPELINE INFERENCE PIPELINE DISTRIBUTED SYNC RANK CHECKPOINTING 03 // PIPELINE OUTPUTS & ARTIFACTS LOSS & METRICS SWAPPABLE CHECKPOINTS [REUSABLE WEIGHTS] INFERENCE RESULTS batches params task step adapters transform weights gradients states reduced loss rank-0 save predictions load model
Interactive Diagram Active
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