Pretraining serves as a pivotal first step in machine learning models, enhancing their efficacy by exposing them to vast data sets. This method is widely used by data scientists to increase later fine-tuning accuracy. Both experienced and emerging tech enterprises significantly improve their predictive analytics and AI capabilities, benefiting immensely from the efficiency and precision that pretraining provides.
