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128: The Possibilities Are Endless for Synthetic Data with Alex Watson of Gretel.ai
The Data Stack Show
How Can I Reason About That?
There is a trade-off between fidelity and time that you have to spend like training the model, right? Often it's somewhat at the end of the day, dependent on that domain and like the use case you're going after. I'd say between our top and most capable language models and GANs versus our statistical models, you'll see about a 10% decrease in inaccuracy. We also are introducing these things called auto params that are on by default with many systems now. And it just looks at the size of data set and this is, are you trying to generate 40 billion records if you are and use auto, it will just pick the right algorithm to use for you.
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