<prompt> Hlalosa ntsetsopele ea novel in natural language processing NLP.nan  <response>: Instruction in English: Describe a novel development in natural language processing NLP. . Response in English: One novel development in natural language processing NLP is the rise of transformer-based models, such as BERT Bidirectional Encoder Representations from Transformers and GPT-3 Generative Pre-trained Transformer 3. These models have advanced the field of NLP significantly by allowing for more accurate and sophisticated language generation and understanding.Traditional NLP methods use static, pre-defined features to represent words, phrases or sentences. However, transformer-based models can learn contextual representations that can capture a words meaning based on its surrounding words. This greatly enhances the capacity of these models to generate human-like language and to accurately understand questions and statements.A key strength of these models is their ability to be pre-trained on large amounts of data, and then fine-tuned for specific NLP tasks such as text classification, translation and question-answering. This allows for the development of highly accurate NLP models that can be trained with relatively little data for specific use cases, making them widely applicable and efficient.Overall, the development of transformer-based models represents a significant step forward in the field of NLP, and has opened the door for numerous innovative applications and improvements to existing technologies. . Response in Sesotho: Ntšetso-pele e ngoe e ncha ea tsebetso ea puo ea tlhaho NLP ke ho phahama ha mefuta e thehiloeng ho li-transformer, joalo ka BERT Boemeli ba Bidirectional Encoder ho tsoa ho Transformers le GPT-3 Generative Pre-trained Transformer 3. Mefuta ena e ntlafalitse tšimo ea NLP haholo ka ho lumella tlhahiso le kutloisiso e nepahetseng le e tsoetseng pele ea puo. Mekhoa ea setso ea NLP e sebelisa likarolo tse sa fetoheng, tse boletsoeng esale pele ho emela mantsoe, lipoleloana kapa lipolelo. Leha ho le joalo, mehlala e thehiloeng ho transformer e ka ithuta liemeli tsa maemo tse ka nkang moelelo oa lentsoe ho latela mantsoe a potolohileng lona. Sena se ntlafatsa haholo bokhoni ba mehlala ena ea ho hlahisa puo e kang ea batho le ho utloisisa lipotso le lipolelo ka nepo. Matla a ka sehloohong a mehlala ena ke bokhoni ba bona ba ho koetlisoa esale pele ka bongata ba data, ebe ba lokisetsoa hantle bakeng sa mesebetsi e itseng ea NLP e kang ho hlophisa mongolo, phetolelo le likarabo tsa lipotso. Sena se lumella ho ntsetsopele ea mefuta e nepahetseng haholo ea NLP e ka koetlisoang ka lintlha tse nyane haholo bakeng sa linyeoe tse ikhethileng tsa tsebeliso, e leng ho etsang hore e sebetse haholo le ho sebetsa hantle. Ka kakaretso, ntsetsopele ea mefuta e thehiloeng ho li-transformer e emetse mohato o moholo oa tsoelo-pele lefapheng la NLP, me e butse monyetla oa likopo tse ngata tse ncha le ntlafatso ea mahlale a teng. 