<prompt> Ngola e meng ea melemo ea ho sebelisa mohlala oa puo o koetlisitsoeng esale pele.nan  <response>: Instruction in English: List some of the advantages of using a pre-trained language model. . Response in English: 1. Saves time and computational resources: Pre-trained language models have been trained on large amounts of data, saving developers the time and resources required to train a model from scratch.2. Incorporates general language knowledge: Pre-trained language models are trained on large and diverse datasets, which allows them to capture the nuances and complexities of human language. This can improve the performance of downstream language tasks.3. Improved performance on small datasets: When working with small datasets, it can be difficult to train a language model from scratch. Using a pre-trained language model and fine-tuning it on the specific task can yield better results, as the model can leverage the general language knowledge it has acquired from pre-training.4. Enables transfer learning: Pre-trained language models can be used as a starting point for a wide range of natural language processing tasks, such as text classification, sentiment analysis, and named entity recognition. Fine-tuning a pre-trained model on a specific task can often lead to better performance than training a model from scratch.5. Promotes consistency and standardization: By using a pre-trained language model, there is greater consistency in the type of language processing that occurs across different applications, which can facilitate communication and understanding between systems. . Response in Sesotho: 1. E boloka nako le lisebelisoa tsa ho kopanya: Mehlala ea lipuo e koetlisitsoeng esale pele e koetlisitsoe ka lintlha tse ngata, e bolokang baetsi ba nako le lisebelisoa tse hlokahalang ho koetlisa mohlala ho tloha qalong. 2. E kenyelletsa tsebo ea puo e akaretsang: Mehlala ea lipuo e koetlisitsoeng esale pele e koetlisoa ka pokello ea lintlha tse kholo le tse fapaneng, e leng se e lumellang ho fumana likarolo le ho rarahana ha puo ea batho. Sena se ka ntlafatsa tsebetso ea mesebetsi ea puo e tlase. 3. Tsebetso e ntlafetseng ho li-dataset tse nyenyane: Ha u sebetsa le li-dataset tse nyenyane, ho ka ba thata ho koetlisa mohlala oa puo ho tloha qalong. Ho sebelisa mmotlolo oa puo o koetlisitsoeng esale pele le ho o lokisa hantle mosebetsing o itseng ho ka hlahisa litholoana tse ntle, kaha mmotlolo o ka phahamisa tsebo ea puo e akaretsang eo o e fumaneng koetlisong ea pele. 4. E nolofaletsa ho ithuta ho fetisa: Mehlala ea lipuo tse koetlisitsoeng esale pele e ka sebelisoa e le qalo ea mesebetsi e mengata e fapaneng ea ho sebetsana le puo ea tlhaho, joalo ka ho hlopha mongolo, tlhahlobo ea maikutlo, le kananelo ea mokhatlo. Ho lokisa hantle mohlala o koetlisitsoeng pele mosebetsing o itseng hangata ho ka lebisa tsebetsong e ntle ho feta ho koetlisa mohlala ho tloha qalong. 5. E khothalletsa botsitso le maemo: Ka ho sebelisa mmotlolo oa puo o koetlisitsoeng esale pele, ho na le tumellano e kholo mofuteng oa tsebetso ea puo e hlahang litsebetsong tse fapaneng, tse ka thusang puisano le kutloisiso lipakeng tsa litsamaiso. 