VentureBeat: “Google today announced the release of Model Search, an open source platform designed to help researchers develop machine learning models efficiently and automatically. Instead of focusing on a specific domain, Google says that Model Search is domain-agnostic, making it capable of finding a model architecture that fits a dataset and problem while minimizing coding time and compute resources. The success of an AI model often depends on how well it can perform across various workloads. But designing a model that can generalize well can be extremely challenging. In recent years, AutoML algorithms have emerged to help researchers find the right model without the need for manual experimentation. However, more often than not, these algorithms are compute-heavy and need thousands of models to train…”