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LLM & GenAI Fundamentals / 13
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Explain LoRA, QLoRA, and parameter-efficient fine-tuning. Why train a fraction of the parameters?

PEFT is how everyone fine-tunes large models now. The signal is the low-rank insight behind LoRA, why it cuts memory so much, and what 4-bit QLoRA adds. Here is the answer that goes past 'it's efficient fine-tuning.'

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

PEFT is how everyone fine-tunes large models now. The signal is the low-rank insight behind LoRA, why it cuts memory so much, and what 4-bit QLoRA adds. Here is the answer that goes past 'it's efficient fine-tuning.'

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