<prompt> Etsa tataiso ea Mehato e 5 ea ho sebelisa mofuta oa puo oa GPTnan  <response>: Instruction in English: Create a 5-Step guide on how to use a GPT language model . Response in English: A Generative Pre-trained Transformer GPT is a type of language model which generates human-like text by predicting the next word in a sequence based on the context and probability. Here is a 5-step guide on how to use a GPT language model:1. Choose a GPT model: There are several GPT models available, each with different sizes and levels of performance. Choose the one that best suits your needs considering the amount of resources you have available, like memory and processing power, and the quality of output you desire. Some popular options include GPT-2, GPT-3, and the open source OpenAI GPT.2. Install and import the necessary libraries: Depending on the model you choose, you may need to install and import certain libraries and dependencies, such as TensorFlow or PyTorch, to run the model on your machine. Consult the documentation and follow the installation instructions for your chosen GPT model.3. Load the pre-trained model: GPT models are pre-trained on large datasets to improve their text generation capabilities. Once you have installed the necessary libraries, you can load the pre-trained model into your program or script.4. Provide a prompt: The GPT model requires a prompt, or initial text, to begin generating output. This prompt can be as short or as long as you desire, and can include specific instructions, such as creating a story, translating a phrase, or answering a question.5. Generate the output: Once you have provided the prompt, you can use the model to generate text by predicting the most likely word to follow the prompt, and then continue generating words until a specified number of tokens or characters are reached, or until the model reaches a logical stopping point. The generated text can then be further processed, analyzed, or displayed as desired.By following these steps, you can use a GPT language model to generate human-like text for various natural language processing tasks. . Response in Sesotho: Generative Pre-trained Transformer GPT ke mofuta wa mmotlolo wa puo o hlahisang mongolo o tshwanang le wa motho ka ho lepa lentswe le latelang ka tatellano e itshetlehileng hodima maemo le kgoneho. Mona ke tataiso ea mehato e 5 ea ho sebelisa mohlala oa puo ea GPT: 1. Khetha mofuta oa GPT: Ho na le mefuta e mengata ea GPT e fumanehang, e ngoe le e ngoe e na le boholo bo fapaneng le maemo a tsebetso. Khetha e lumellanang hantle le litlhoko tsa hau ho latela boholo ba lisebelisoa tseo u nang le tsona, joalo ka memori le matla a ho sebetsa, le boleng ba tlhahiso eo u e lakatsang. Likhetho tse ling tse tsebahalang li kenyelletsa GPT-2, GPT-3, le mohloli o bulehileng oa OpenAI GPT. 2. Kenya le ho reka lilaebrari tse hlokahalang: Ho itšetlehile ka mofuta oo u o khethang, ho ka na ha hlokahala hore u kenye le ho reka lilaebrari tse itseng le lintho tse itšetlehileng ka tsona, tse kang TensorFlow kapa PyTorch, ho tsamaisa mohlala mochine oa hau. Sheba litokomane me u latele litaelo tsa ho instola tsa mofuta oo u o khethileng oa GPT. 3. Laola moetso o koetlisitsoeng esale pele: Mehlala ea GPT e koetlisitsoe esale pele ho li-database tse kholo ho ntlafatsa bokhoni ba tsona ba ho hlahisa mongolo. Hang ha u se u kentse lilaebrari tse hlokahalang, u ka kenya mohlala o koetlisitsoeng esale pele lenaneong la hau kapa script. 4. Fana ka molaetsa: Moetso oa GPT o hloka molaetsa, kapa mongolo o qalang, ho qala ho hlahisa tlhahiso. Molaetsa ona o ka ba o mokgutshwane kapa halelele kamoo o lakatsang kateng, mme o ka kenyelletsa ditaelo tse itseng, tse kang ho etsa pale, ho fetolela polelo, kapa ho araba potso. 5. Etsa tlhahiso: Hang ha o fane ka molaetsa, o ka sebelisa mohlala ho hlahisa mongolo ka ho bolela esale pele lentsoe le ka bang teng ho latela molaetsa, ebe o tsoela pele ho hlahisa mantsoe ho fihlela palo e itseng ea tokens kapa litlhaku li fumaneha. fihla, kapa ho fihlela mohlala o fihla sebakeng se utloahalang sa ho emisa. Sengoloa se hlahisitsoeng se ka sebetsoa, sa hlahlobisisoa, kapa sa hlahisoa kamoo u batlang. Ka ho latela mehato ena, o ka sebelisa mohlala oa puo ea GPT ho hlahisa mongolo o tšoanang le oa motho bakeng sa mesebetsi e fapaneng ea puo ea tlhaho. 