<prompt> Melemo e meli ea mantlha ea ho sebelisa mofuta oa GPT ha e bapisoa le mananeo a setso ke afe?nan  <response>: Instruction in English: What are the two main advantages of using a GPT model compared to traditional programming? . Response in English: There are two main advantages of using a GPT Generative Pre-trained Transformer model compared to traditional programming:1. Increased Efficiency: GPT models are pre-trained using large amounts of data, and the model can then generate text based on that pre-training. This means that there is less need for hand-coding specific rules, or manually inputting data, since the model has already learned from large amounts of data. This increases efficiency and speed significantly, as the model can generate text quickly and accurately.2. Improved Performance: The performance of a GPT model is often superior to traditional programming methods. This is because the model is trained using machine learning algorithms, which allows it to generate text that is coherent and context-aware. The model takes into account the context of the text it is generating, and can generate natural-sounding text that is often difficult to achieve using traditional programming methods. Additionally, the model can be fine-tuned to specific tasks, which can improve its performance even further. . Response in Sesotho: Ho na le melemo e meli e meholo ea ho sebelisa mohlala oa GPT Generative Pre-trained Transformer ha e bapisoa le lenaneo la setso: 1. Katleho e Eketsehileng: Mehlala ea GPT e koetlisitsoe esale pele ho sebelisoa lintlha tse ngata, me mohlala o ka hlahisa mongolo o thehiloeng holima pele. -thupelo. Sena se bolela hore ho na le tlhokahalo e fokolang ea melao e tobileng ea ho ngolisa ka letsoho, kapa ho kenya data ka letsoho, kaha mohlala o se o ithutile ho tloha ho data e ngata. Sena se eketsa bokgoni le lebelo haholo, kaha mmotlolo o ka hlahisa mongolo ka potlako le ka nepo. 2. Tsebetso e Ntlafetseng: Tsebetso ea mohlala oa GPT hangata e phahametse mekhoa e tloaelehileng ea mananeo. Lebaka ke hobane mohlala o koetliselitsoe ho sebelisa li-algorithms tsa ho ithuta ka mochini, tse o lumellang ho hlahisa mongolo o momahaneng le o tsebang maemo. Mohlala o ela hloko moelelo oa mongolo oo o o hlahisang, me o ka hlahisa mongolo o utloahalang oa tlhaho oo hangata ho leng thata ho o finyella ho sebelisoa mekhoa e tloaelehileng ea lenaneo. Ho feta moo, mohlala o ka hlophisoa hantle le mesebetsi e itseng, e ka ntlafatsang tsebetso ea ona le ho feta. 