Phi-4 proves that a ‘data-first’ SFT methodology is the new differentiator
via arxiv.org
Short excerpt below. Read at the original source.
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology is the cleanest public example of a training approach that smaller enterprise teams can copy. It shows how a carefully chosen dataset and fine-tuning strategy can make […]