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Is Base Ten the Holy Grail for Machine Learning?
The holy grail for many machine learning applications is the ability to use a stater of the art model and to tune specific parts of that work flow. And ten, we're built for you to integrate in and out of base ten an across those three pillars. You know, if we're successful, we reduce the cost of shipping. More people will be colaborating round models. i think overall, if there's anything you can do to increase collaboration and quicken t iteration cycles, you'll see an effectiveness in the overall process.