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. “One of the interpretations is that there is a wider variety of ROIs for projects when businesses are experimenting with different and smaller projects,” explains Brian Goehring, Associate Partner and AIResearch Lead at IBM’s Institute for Business Value (IBV). The study indicates some analysts are skeptical.
The computational cost alone can easily run into the millions of dollars to train models with hundreds of billions of parameters on massive datasets using thousands of GPUs or TPUs. Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy MLmodels.
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