Why Fine-Tuning Often Fails (and Why RAG + Agents Usually Win)

Fine-tuning promises customization. Reality often delivers disappointment. Why Fine-Tuning Breaks Down Training data is shallow Domain knowledge changes Models forget previous capabilities Drift requires retraining Each iteration increases cos...