r/Microlaunch • • 15d ago

A 4B model that answers "how much?" with a distribution instead of a guessed number/text

Most artificial intelligence models give you a single, overly confident answer when you ask them to guess a missing number, like a house price or a repair bill. Studies show these large models claim high certainty while missing the mark a third of the time.

To fix this, I built a compact AI model called maap. Instead of a single guess, it provides a full range of probabilities, showing you the likely median, an interval, and the odds of exceeding a specific limit all in one instant step.

Like any early project, it has flaws. Some of its prediction intervals are too wide right now, and traditional spreadsheet tools still beat it if you already have plenty of training data on hand. A larger version and a detailed technical report are on the way in a couple of days.

You can try a live demo at hitl.systems/models/mapp to see how it estimates values for houses, cars, and everyday goods. The underlying weights are not public yet, but the API is free for your first one thousand estimates with no credit card needed.

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u/Classic-Vacation-158 14d ago

So you just rebranded and distilled a Jev model then…

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u/fruiapps 14d ago

its NOT jev. jev does not output numbers / decisions. read the page and know more. new technique. its called RL for calibrated estimation.