<prompt> Hlalosa phapang pakeng tsa laeborari ea ho ithuta ka mochini le moralo oa AInan  <response>: Instruction in English: Explain the difference between a machine learning library and an AI framework . Response in English: A machine learning library is a collection of algorithms, tools and functionalities that can be used to develop and implement machine learning models. These libraries provide pre-built and pre-tested modules that allow developers and data scientists to focus on the key aspects of model building, such as feature engineering or parameter tuning, without having to worry about writing complex code from scratch. Examples of popular machine learning libraries include Scikit-learn, TensorFlow and PyTorch.An AI framework, on the other hand, is a platform that provides a broad range of tools and libraries that support the development and deployment of applications that incorporate AI technologies such as machine learning, natural language processing, and computer vision. Apart from machine learning libraries, an AI framework may also include a range of tools for data processing, data visualization, model serving, and model deployment. Examples of popular AI frameworks include TensorFlow, PyTorch, and Keras.In summary, machine learning libraries provide specifically tailored tools for building machine learning models, while AI frameworks offer a broader range of capabilities to support the entire AI application development process. . Response in Sesotho: Laeborari ea ho ithuta ka mochini ke pokello ea li-algorithms, lisebelisoa le tsebetso e ka sebelisoang ho theha le ho kenya tšebetsong mefuta ea ho ithuta ka mochini. Lilaebrari tsena li fana ka li-module tse entsoeng esale pele le tse lekiloeng tse lumellang baetsi le bo-rasaense ba data hore ba tsepamise maikutlo linthong tsa bohlokoa tsa mohaho oa mohlala, joalo ka boenjiniere ba likarolo kapa tokiso ea parameter, ntle le ho tšoenyeha ka ho ngola khoutu e rarahaneng ho tloha qalong. Mehlala ea lilaebrari tse tsebahalang tsa ho ithuta ka mochini e kenyelletsa Scikit-learn, TensorFlow le PyTorch. Ka lehlakoreng le leng, moralo oa AI ke sethala se fanang ka lisebelisoa le lilaebrari tse fapaneng tse tšehetsang ntsetsopele le phepelo ea litsebetso tse kenyelletsang theknoloji ea AI joalo ka ho ithuta ka mochini, tsebetso ea puo ea tlhaho le pono ea khomphutha. Ntle le lilaebrari tsa ho ithuta ka mochini, moralo oa AI o kanna oa kenyelletsa lisebelisoa tse fapaneng bakeng sa tsebetso ea data, pono ea data, tšebeliso ea mohlala, le phepelo ea mohlala. Mehlala ea meralo e tsebahalang ea AI e kenyelletsa TensorFlow, PyTorch, le Keras. Ka kakaretso, lilaebrari tsa ho ithuta ka mochini li fana ka lisebelisoa tse lokiselitsoeng ka ho khetheha bakeng sa ho haha mefuta ea ho ithuta ea mochini, ha meralo ea AI e fana ka mefuta e mengata ea bokhoni ba ho tsehetsa tsebetso eohle ea ntlafatso ea kopo ea AI. 