MosaicMLdelving into the details
A former head of artificial intelligence products at Intel has started a company to help companies cut overhead costs on AI systems. Naveen Rao, CEO and co-founder of MosaicML, previously led Nervana Systems, which was acquired by Intel for $350m. But like many Intel acquisitions, the marriage didn’t pan out, and Intel killed the Nervana AI chip last year, after which Rao left the company. MosaicML’s open source tools focus on implementing AI systems based on cost, training time, or speed-to-results. They do so by analyzing an AI problem relative to the neural net settings and hardware, which then paves an efficient path to generate optimal settings while reducing electric costs. One component is Composer, which provides the building blocks on which AI applications can be efficiently trained. MosaicML developed these methods after months of researching common settings in computer vision models that include ResNets and natural language processing models like Transformer and GPT. But developers will ultimately need to chose the best approach. That is where the second component, Explorer, steps in. The tool has a visual interface that provides fine-grained details on parameters that include better results, training time or cost, and users can filter results by the hardware type, cloud and technique.
