Browsing: Preparing

Data preparation for supervised fine-tuning (SFT) doesn’t end when your dataset is clean and correctly formatted. The harder questions come next. How much data do you actually need? Should you collect more, or select a better subset of what you have? How do you generate high-quality examples when human annotation doesn’t scale? And how do…

Apple’s Liquid Glass design language has been hit-or-miss, depending on whom you ask. Our survey last year showed that readers overwhelmingly prefer Google’s Material 3 Expressive over Liquid Glass. That doesn’t change the fact that this is a core design element of iOS and will continue to be adopted by other third-party apps. The YouTube…