<prompt> Batlisisa hore na ke mekhoa efe ea ho ithuta ka mochini e fumanehang bakeng sa mesebetsi ea GPT.nan  <response>: Instruction in English: Research what machine learning frameworks are available for GPT tasks. . Response in English: A machine learning framework is a software library, interface or tool that provides a way to build and train machine learning models. These frameworks provide a convenient and efficient way to build, train, and deploy models for various tasks such as generating text using GPT models. Some of the available machine learning frameworks for GPT tasks include:1. TensorFlow: TensorFlow is an open-source machine learning framework developed by Google. It provides a platform to design and train various deep learning models like GPT.2. PyTorch: PyTorch is another popular open-source deep learning framework, developed by Facebooks AI Research Lab, that supports GPT models.3. Keras: Keras is an open-source deep learning framework that can run on top of TensorFlow, Microsoft Cognitive Toolkit, and Theano. It simplifies the process of building and training GPT models.4. Hugging Faces Transformer: Hugging Face has developed the Transformer library, which is an open-source framework for natural language processing tasks. It supports GPT models and provides pre-trained models for various language-related tasks.5. Microsoft CNTK Cognitive Toolkit: Microsofts CNTK is a deep learning framework designed to work efficiently on large datasets. It can be used to train GPT models through either a high-level or low-level API.These are some of the popular machine learning frameworks that can be used to handle GPT tasks effectively. Each framework has its own strengths and weaknesses, and the choice of framework depends on the specific needs and requirements of the task at hand. . Response in Sesotho: Moralo oa ho ithuta ka mochini ke laebrari ea software, sebopeho kapa sesebelisoa se fanang ka mokhoa oa ho aha le ho koetlisa mehlala ea ho ithuta ka mochini. Merero ena e fana ka mokhoa o bonolo le o sebetsang oa ho aha, ho koetlisa, le ho tsamaisa meralo bakeng sa mesebetsi e fapaneng joalo ka ho hlahisa mongolo o sebelisa mefuta ea GPT. Tse ling tsa mekhoa e teng ea ho ithuta ka mochini bakeng sa mesebetsi ea GPT e kenyelletsa: 1. TensorFlow: TensorFlow ke moralo o bulehileng oa ho ithuta oa mochini o entsoeng ke Google. E fana ka sethala sa ho rala le ho koetlisa mefuta e fapaneng ea ho ithuta e tebileng joalo ka GPT. 2. PyTorch: PyTorch ke moralo o mong o tsebahalang o bulehileng oa ho ithuta o tebileng, o ntlafalitsoeng ke Facebooks AI Research Lab, e tšehetsang mefuta ea GPT. 3. Keras: Keras ke moralo o bulehileng oa ho ithuta o tebileng o ka sebetsang ka holima TensorFlow, Microsoft Cognitive Toolkit, le Theano. E nolofatsa mokhoa oa ho aha le ho koetlisa mefuta ea GPT. 4. Transformer ea Sefahleho se Hugging: Hugging Face e thehile laebrari ea Transformer, e leng moralo o bulehileng oa mesebetsi ea puo ea tlhaho. E tsehetsa mefuta ea GPT mme e fana ka mehlala e koetlisitsoeng esale pele bakeng sa mesebetsi e fapaneng e amanang le lipuo. 5. Microsoft CNTK Cognitive Toolkit: Microsoft CNTK ke moralo o tebileng oa ho ithuta o etselitsoeng ho sebetsa ka katleho ho li-datasets tse kholo. E ka sebelisoa ho koetlisa mefuta ea GPT ka API ea boemo bo holimo kapa e tlase. Tsena ke tse ling tsa meralo e tsebahalang ea ho ithuta ka mochini e ka sebelisoang ho sebetsana le mesebetsi ea GPT ka katleho. Moralo o mong le o mong o na le matla le mefokolo ea oona, me khetho ea moralo e itšetlehile ka litlhoko le litlhoko tse khethehileng tsa mosebetsi o etsoang. 