<prompt> Mokhoa oa GPT-2 o sebetsa joang?nan  <response>: Instruction in English: How does a GPT-2 model work? . Response in English: GPT-2, or Generative Pretrained Transformer 2, is a type of natural language processing model that generates text. It is based on the Transformer architecture, which employs a multi-layered attention mechanism to process input text tokens in parallel rather than sequentially, enabling the model to learn relationships between tokens regardless of their distance within the input text.The pretrained aspect of GPT-2 refers to the fact that the model is not trained from scratch for each new application. Instead, it is trained on a large corpus of text in an unsupervised manner, meaning that no labeled data is provided to the model during training. During this training phase, the model learns to generate text by predicting the next word in a sequence based on the context of the words that came before it. This pretraining enables the model to develop a general understanding of the structure and usage of natural language.When GPT-2 is applied to a specific language generation task, it can be fine-tuned on a smaller amount of task-specific data to improve its performance on that task. Fine-tuning involves updating the models weights and biases based on the task-specific training data, while retaining the general language understanding learned during pretraining.When given a prompt or context to generate text from, GPT-2 uses its knowledge of natural language to generate coherent and contextually appropriate text. It does this by assigning probabilities to different words and selecting the most likely word based on the context of the words that came before it. This process is repeated to generate subsequent words until the generation is complete. The nature of the model allows it to generate text that is diverse in content and style, while still remaining coherent and contextually appropriate. . Response in Sesotho: GPT-2, kapa Generative Pretrained Transformer 2, ke mofuta oa sebopeho sa puo ea tlhaho se hlahisang mongolo. E ipapisitse le meralo ea Transformer, e sebelisang mokhoa oa ho ela hloko ka mekhahlelo e mengata ho sebetsana le li-tokens tsa mongolo oa ho kenya ka mokhoa o tsoanang ho e-na le ka tatellano, e leng se nolofalletsang mohlala ho ithuta likamano pakeng tsa li-tokens ho sa tsotellehe hore na li hōle hakae ka hara mongolo oa ho kenya. Karolo ea e koetlisitsoeng esale pele ea GPT-2 e bua ka taba ea hore mohlala ha oa koetlisoa ho tloha qalong bakeng sa tsebeliso e ngoe le e ngoe e ncha. Ho e-na le hoo, e koetlisetsoa ho sehlopha se seholo sa mongolo ka mokhoa o sa laoleheng, ho bolelang hore ha ho data e ngotsoeng e fanoang ho mohlala nakong ea koetliso. Nakong ea mokhahlelo ona oa koetliso, mohlala o ithuta ho hlahisa mongolo ka ho bolela esale pele lentsoe le latelang ka tatellano ho latela moelelo oa mantsoe a tlileng pele ho lona. Boithuto bona ba pele bo thusa mohlala ho holisa kutloisiso e akaretsang ea sebopeho le tšebeliso ea puo ea tlhaho. Ha GPT-2 e sebelisoa mosebetsing o itseng oa tlhahiso ea puo, e ka hlophisoa hantle ho palo e nyane ea data e ikhethileng bakeng sa ho ntlafatsa tsebetso ea eona mosebetsing oo. Tokiso e ntle e kenyelletsa ho nchafatsa litekanyo le litšekamelo tsa mohlala ho ipapisitsoe le data ea koetliso e ikhethileng, ha ho ntse ho bolokoa kutloisiso ea puo e akaretsang e ithutoang nakong ea koetliso ea pele. Ha e fuwa kapele kapa moelelo wa ho hlahisa mongolo, GPT-2 e sebedisa tsebo ya yona ya puo ya tlhaho ho hlahisa mongolo o momahaneng le o nepahetseng maemong. E etsa sena ka ho abela menyetla ea mantsoe a fapaneng le ho khetha lentsoe leo ho ka etsahalang hore ebe le thehiloe ho latela moelelo oa mantsoe a tlileng pele ho lona. Tsebetso ena e phetoa ho hlahisa mantsoe a latelang ho fihlela moloko o felile. Sebopeho sa mmotlolo se se dumella ho hlahisa sengolwa se fapaneng ka diteng le setaele, se ntse se na le momahano le maemo a nepahetseng. 