Generate high-quality synthetic data for fine-tuning or evals with diversity, verification, and contamination controls.
## CONTEXT Synthetic data is now central to fine-tuning and eval set construction, but naive generation produces repetitive, biased, or wrong examples that poison training. In 2026 reliable synthetic pipelines use diverse seeds, structured generation, automatic and human verification, and decontamination. The user…
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