2025 Real SEO™ Definition
"Fine-Tuning (LoRA / QLoRA)"
A lighter, faster method to adapt AI models to specific data or tone using Low-Rank Adaptation techniques.
Fine-Tuning (LoRA / QLoRA)
Fine-Tuning adapts an existing AI model to specialize in your data. Using methods like Low-Rank Adaptation (LoRA) or its lighter variant QLoRA, developers adjust select layers of the model instead of retraining it from scratch.
For marketers, fine-tuning makes AI reflect your brand’s vocabulary, tone, and preferred formatting. It’s like teaching a general writer to speak fluently in your brand voice—fast and cost-efficient.
When combined with Dataset Engineering, Fine-Tuning becomes a strategic asset in Real SEO™ pipelines for personalized, on-brand automation.