
Building AI Data Responsibly with Edouard d’Archimbaud - ML 081
Adventures in Machine Learning
00:00
How to Define Clean Data and Data Are Diverse
Having clean data matters because AI is averaging average out. So, if you have inconsistent data, it's going to confuse your model and to decrease the performances. The 10% decrease in the labor accuracy means that 2 to 5%. And it also means having to double the assets size to keep the same performances. At Kiri, we are pretty universal. Like our solution covers text, PDFs, such a text. Everything is related to the compositing image as well. Videos, audio, time series.
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