<prompt> Mohopolo oa mantlha ka mora mefuta ea GPT ke ofe?nan  <response>: Instruction in English: What is the basic idea behind GPT models? . Response in English: GPT or Generative Pre-trained Transformer models are based on a machine learning architecture called the Transformer, first introduced by Google in 2017. The basic idea behind GPT models is to use a large amount of training data to pre-train a Transformer-based model to predict the next word, given the previous words in a sequence of text. This pre-training is done using an unsupervised learning technique called language modelling. Once the model is pre-trained, it can then be fine-tuned on a smaller amount of task-specific data to perform a wide variety of natural language processing tasks, such as text classification, sentiment analysis, and question answering. GPT models have achieved state of the art performance on a number of benchmarks thanks to their ability to effectively capture and exploit the context of the text they are processing. . Response in Sesotho: Mekhoa ea GPT kapa Generative Pre-trained Transformer e thehiloe mohahong oa ho ithuta oa mochine o bitsoang Transformer, o qalileng ho hlahisoa ke Google ka 2017. Maikutlo a motheo ka morao ho mehlala ea GPT ke ho sebelisa boitsebiso bo bongata ba koetliso ho koetlisa pele ho Transformer- mohlala oa ho bolela lentsoe le latelang, ho latela mantsoe a fetileng ka tatellano ea mongolo. Thupelo ena ea pele e etsoa ka mokhoa oa ho ithuta o sa laoleheng o bitsoang puo modelling. Hang ha mohlala o se o koetlisitsoe, o ka lokisoa hantle ho palo e nyane ea data e ikhethileng bakeng sa ho etsa mesebetsi e mengata e fapaneng ea ho sebetsana le puo ea tlhaho, joalo ka ho hlophisa mongolo, tlhahlobo ea maikutlo, le ho araba lipotso. Mefuta ea GPT e fihletse tsebetso ea boemo bo holimo maemong a maloa ka lebaka la bokhoni ba eona ba ho hapa le ho sebelisa hampe moelelo oa mongolo oo ba o fetolelang. 