Large data sources with bad data vs. Small data sources with good data.
Large data sources with bad data. Smaller data sources with good data. Which is better?
Large bad data. Obviously not good and some have recognized this as “model collapse” – the bad data causes more bad data to be generated. Small bad data – nothing needs to be said here. Small (vetted, provenance-known) data – perhaps within your enterprise walls – perhaps the way to go, until large, good data that is used for training appears. When will this happen? I do not think this is on the horizon.
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