Phi-4 Demonstrates Data-First Fine-Tuning as a Game Changer for Efficient LLM Reasoning
Microsoft’s Phi-4 model showcases how a strategic, data-centric supervised fine-tuning (SFT) methodology enables a 14-billion-parameter model to outperform much larger counterparts by focusing on carefully curated, teachable examples and modular domain tuning.