Topic: fine-tuning

• LoRA: low-rank adaptation and what its memory savings actually cover

  LoRA learns a low-rank update while keeping base weights frozen. It reduces trainable parameters and their optimizer state, but the base model, activations and deployment compatibility still matter.

  article · en · unreviewed · knowledge as of 2026-10-11

Machine-readable: JSON