Post #774307

Bigger isn't always better in AI. Sometimes, a 23-Million parameter model can absolutely crush a 1-Billion parameter giant—if you know exactly how to engineer it. - Packed my dataset into a high-speed Lightning Memory-Mapped Database ( #LMDB ) to feed the Vision Transformer at blistering speeds. I effectively built a model that is much smaller (~300MB vs 2.6GB), runs inference in milliseconds instead of seconds, and improved accuracy by over 17%. https://www.linkedin.com/posts/jatin-mahajan711_machinelearning-computervision-ai-activity-7442615392809750529-lYQO