Data preparation and synthetic data
Build a training set you can trust: sourcing and licences, formats and chat templates, cleaning, near-duplicate removal with MinHash (runnable), splits and leakage, synthetic data generation and verification, quality control, and privacy.
18 min·Verified 2026-11Pro+50 XP
Fine-tuning results are decided by data. A thousand excellent examples beat a million careless ones, and most disappointing fine-tunes are data problems.
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