Prepares and validates data for fine-tuning ML models (SFT/DPO/LoRA), with a real dataset quality checker tested against synthetic messy data - catches duplicates, malformed rows, and train/eval leakage. Use whenever the user wants to fine-tune, train, or customize an ML model on their own data, or
Prepares and validates data for fine-tuning ML models (SFT/DPO/LoRA), with a real dataset quality checker tested against synthetic messy data - catches duplicates, malformed rows, and train/eval leakage. Use whenever the user wants to fine-tune, train, or customize an ML model on their own data, or asks about SFT, LoRA, or training configuration.