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Large data sources with bad data. Smaller data sources with good data. Which is better?
Manage episode 372324125 series 3442262
Sisällön tarjoaa Sam Holcman. Sam Holcman tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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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