As a result, they can author convincing-sounding documents, but those works can also be riddled with falsehoods and potentially harmful stereotypes.Some critics call LLMs "stochastic parrots" for their ability to convincingly spit out text without understanding its meaning.Its authors trained Galactica on "a large and curated corpus of humanity’s scientific knowledge," including over 48 million papers, textbooks and lecture notes, scientific websites, and encyclopedias.Even when Galactica's output wasn't offensive to social norms, the model could assault well-understood scientific facts, spitting out inaccuracies such as incorrect dates or animal names, requiring deep knowledge of the subject to catch.Where the industry practice falls between those two extremes will likely vary between cultures and as deep learning models mature."