<prompt> Qolla sengoloa ho tsoa koranteng ea mahlale e tsehetsang tsebeliso ea mefuta ea GPT.nan  <response>: Instruction in English: Cite an article from a scientific journal that supports the use of GPT models. . Response in English: One article from a scientific journal that supports the use of GPT models is Language Models are Few-Shot Learners by Tom B. Brown, Benjamin Mann, Nick Ryder, et. al published in 2020 in the journal arXiv.org. The article discusses the training and performance of GPT-3, a state-of-the-art language model that demonstrates impressive few-shot learning capabilities. The authors present evidence that GPT-3 can perform well on a variety of natural language processing tasks with little to no fine-tuning, due to its large size and the use of the transformer architecture. The results of their study suggest that GPT models, particularly large ones like GPT-3, have significant potential in natural language processing and related fields. . Response in Sesotho: Sengoliloeng se seng sa koranta ea saense e tšehetsang tšebeliso ea mehlala ea GPT ke Mehlala ea Lipuo ke Baithuti ba Bang ba Shot ka Tom B. Brown, Benjamin Mann, Nick Ryder, et. e phatlalalitsoe ka 2020 koranteng ea arXiv.org. Sengoliloeng se bua ka koetliso le tsebetso ea GPT-3, e leng mohlala oa morao-rao oa puo o bontsang bokhoni ba ho ithuta bo fokolang. Bangoli ba fana ka bopaki ba hore GPT-3 e ka sebetsa hantle mesebetsing e fapaneng ea puo ea tlhaho ea puo ea tlhaho ntle le ho hlophisa hantle, ka lebaka la boholo ba eona bo boholo le tšebeliso ea mohaho oa transformer. Liphetho tsa thuto ea bona li fana ka maikutlo a hore mefuta ea GPT, haholo-holo e meholo joalo ka GPT-3, e na le monyetla o moholo oa ho sebetsana le puo ea tlhaho le mafapha a amanang. 