Data & Training

Datasets, fine-tuning and pipelines.

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PEFT

PEFT (Parameter-Efficient Fine-Tuning) is a family of techniques that adapt large pre-trained models to new tasks by updating or adding only a tiny fraction of parameters instead of retraining the entire model.

Pretraining

Pretraining is the first stage of training an AI model on a very large, general dataset so it learns broad patterns and representations before being adapted to specific tasks.