MIPROv2Optimizer
Parameters
LLM model for meta-LLM calls (instruction proposal, dataset summarization).
Preset mode controlling defaults (LIGHT/MEDIUM/HEAVY).
Manual override for number of candidates per module.
Manual override for the validation-set size used to score candidates. The validation set can't be larger than the 80 % of the dataset left after the demo-generation items.
Manual override for grid search trials.
Max demos per bootstrap run.
Total demo slots (bootstrapped and labeled).
Whether bootstrap uses labeled fallback.
Configuration for an instruction proposal.
File path to save/load the optimization artifact.
Seed for reproducibility.
Seed of the shuffle that decides which items generate demos and which validate. Kept apart from randomSeed, so runs with different randomSeed values validate on the same items.
Max concurrent operations (bootstrap runs, instruction proposals).