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Watching a demo at a tech meetup in Austin made me rethink how we train models
I was at a local AI meetup last week, and a presenter showed a new way to use synthetic data that cut training time by like 40% on a project. It basically made me question if we're all too stuck on using only real-world datasets for everything now. Do you think synthetic data is a legit shortcut, or does it risk making models that don't work right in the real world?
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caseywalker14d ago
It's a legit shortcut if you keep checking for real world weirdness.
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drews5514d ago
Real world weirdness" sounds like a big deal, but how often does that actually happen? Most of the time the shortcut works fine and nothing goes wrong. People just like to worry about edge cases.
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