<prompt> Hlalosa phapang e kholo lipakeng tsa mohlala oa AI le Mohlala oa ho Ithuta oa Mochini.nan  <response>: Instruction in English: Explain the main differences between an AI model and a Machine Learning Model. . Response in English: Artificial Intelligence AI and Machine Learning ML are two closely related concepts, but there are some important differences between them. AI refers to the ability of a computer or a machine to perform tasks that would normally require human intelligence, such as understanding natural language or recognizing images. It involves building machines that can perform tasks without explicit instructions, instead relying on pattern recognition and reasoning capabilities.Machine Learning, on the other hand, is a subset of AI that focuses on the development of algorithms and statistical models that allow machines to learn from and make predictions or decisions based on data. ML models learn from large amounts of data using various algorithms and then use that learning to make decisions, predictions, or take actions.The main difference between them is that AI is a broader concept that encompasses many different subfields, including ML, while ML is a specific approach to achieving AI that focuses on using data to train models. Another difference is that AI can be rule-based, where a machine follows a set of rules to make decisions, while ML relies on the data itself to make decisions. Additionally, AI systems can be designed to exhibit human-like behavior and cognitive abilities, while ML models are usually focused on finding patterns in data and making predictions. . Response in Sesotho: Artificial Intelligence AI le Machine Learning ML ke likhopolo tse peli tse amanang haufi-ufi, empa ho na le phapang ea bohlokoa pakeng tsa tsona. AI e bolela bokhoni ba komporo kapa mochini ho etsa mesebetsi eo hangata e hlokang bohlale ba motho, joalo ka ho utloisisa puo ea tlhaho kapa ho lemoha litšoantšo. E akarelletsa ho haha mechine e khonang ho etsa mesebetsi ntle le litaelo tse hlakileng, ho e-na le hoo e itšetlehile ka ho lemoha mohlala le bokhoni ba ho beha mabaka. Ho Ithuta ka Mochini, ka lehlakoreng le leng, ke karoloana ea AI e shebaneng le ntsetsopele ea li-algorithms le mehlala ea lipalo-palo e lumellang mechini ho ithuta le ho etsa likhakanyo kapa liqeto tse thehiloeng ho data. Mefuta ea ML e ithuta ho tsoa ho data e ngata e sebelisa li-algorithms tse fapaneng ebe e sebelisa thuto eo ho etsa liqeto, ho bolela esale pele kapa ho nka khato. Phapang e ka sehloohong pakeng tsa bona ke hore AI ke khopolo e pharaletseng e kenyelletsang libaka tse ngata tse fapaneng tse fapaneng, ho akarelletsa le ML, ha ML e le mokhoa o khethehileng oa ho finyella AI o tsepamisitseng maikutlo ho sebeliseng data ho koetlisa mehlala. Phapang e ngoe ke hore AI e ka ba melao-motheo, moo mochine o latelang melao ea ho etsa liqeto, ha ML e itšetlehile ka data ka boeona ho etsa liqeto. Ho feta moo, litsamaiso tsa AI li ka etsoa ho bontsa boitsoaro bo kang ba motho le bokhoni ba kelello, athe mefuta ea ML hangata e tsepamisitse maikutlo ho fumaneng mekhoa ea data le ho bolela esale pele. 