// Featured PostResearchLLM vs Fine-Tuning: The Real Cost and Accuracy Tradeoff in Short-Text Emotion Classification
A four-way empirical comparison of TF-IDF + SVM, fine-tuned DistilBERT, prompted Claude Haiku 4.5 and QLoRA on Qwen2.5-1.5B, measured on macro-F1, p95 latency and dollar cost per 1,000 predictions.
