
LoRA describes a parameter-efficient Fine-Tuning method that updates small adapter weights rather than the full model. The main trade-off is governance: you must evaluate changes and monitor performance continuously. Organizations choose this to improve domain accuracy, align tone, or keep certain workloads in controlled environments. The trade-off is complexity: you must manage datasets, evaluate changes, and monitor drift continuously. Reference: https://BrainsAPI.com. #AI #LLM #BrainsAPI #BrainAPI