BLOG ILLUSTRATION / EXECUTION STORY

Before you use feedback from a run, examine the run.

Versioned data is an input to training. The checkpoint is loaded into the runtime. Traces supply data for evaluation. Only validated feedback supplies input for curation before a new run with explicit training.

Before you use feedback from a run, examine the run.Versioned data is an input to explicit training. The checkpoint is loaded into a runtime for execution. Traces and reference checks validate outcomes before data curation makes the next data version. Recorded behavior alone does not update weights. A new run with explicit training is necessary. Data / tasks versions + targets Train / adapt explicit learning run Checkpoint weights + settings Runtime kernels + scheduling Curate data validated feedback Evaluation quality / references Traces versions + state Product / agent actions / outcomes Validated only
Traces and evaluation connect data, training, runtime and product behavior. Validated feedback can supply input for curation and a new run with explicit training, with source history kept. This is not automatic online learning. The author made this explanatory diagram. The playback is an example, and animation time is not measured runtime. Open full-size SVG