<prompt> Lemoga diphapano tše kgolo magareng ga dikgopolo tše tše pedi.Likhopolo tsa bohlale ba maiketsetso le ho ithuta ka mochini  <response>: Instruction in English: Identify the main differences between the two concepts. . Response in English: Artificial Intelligence AI and Machine Learning ML are two interrelated concepts, but there are some key differences between the two. At a high level, Artificial Intelligence refers to the ability of a computer or machine to mimic or replicate the cognitive functions of the human mind, such as learning and problem-solving. Machine Learning, on the other hand, is a subset of AI that involves the use of algorithms and statistical models to enable machines to improve their performance on a specific task over time by learning from data instead of explicit programming.One of the main differences between AI and ML is their scope. AI involves building machines that can perform a wide range of intelligent tasks, from understanding natural language to recognizing patterns and making decisions. Machine Learning, on the other hand, focuses on enabling machines to learn and improve their performance on specific tasks, usually by analyzing large datasets.Another key difference between the two concepts is how they achieve their goals. AI systems can use a variety of techniques, including rule-based systems, expert systems, and fuzzy logic, to enable machines to mimic human intelligence. Machine Learning, on the other hand, focuses on developing algorithms that can learn from data, identify patterns, and make predictions.In summary, Artificial Intelligence is a broader concept that involves machines being able to perform tasks that would normally require human intelligence, while Machine Learning is a subset of AI that focuses on using algorithms and statistical models to enable machines to learn from data and improve their performance on specific tasks. . Response in Sesotho: Artificial Intelligence AI le Machine Learning ML ke likhopolo tse peli tse amanang, empa ho na le phapang ea bohlokoa pakeng tsa tse peli. Boemong bo phahameng, Artificial Intelligence e bolela bokhoni ba komporo kapa mochini ho etsisa kapa ho etsa mesebetsi ea kelello ea motho, joalo ka ho ithuta le ho rarolla mathata. Ho Ithuta ka Mochini, ka lehlakoreng le leng, ke karolo e nyenyane ea AI e kenyelletsang tšebeliso ea li-algorithms le mehlala ea lipalo-palo ho nolofalletsa mechine ho ntlafatsa tsebetso ea bona mosebetsing o itseng ka nako e itseng ka ho ithuta ho tloha data ho e-na le mananeo a hlakileng. E ngoe ea liphapang tse kholo lipakeng tsa AI le ML ke boholo ba tsona. AI e kenyelletsa mechini ea kaho e ka etsang mefuta e mengata ea mesebetsi e bohlale, ho tloha ho utloisisa puo ea tlhaho ho isa ho ho lemoha mekhoa le ho etsa liqeto. Ho Ithuta ka Mechini, ka lehlakoreng le leng, ho shebana le ho nolofalletsa mechini ho ithuta le ho ntlafatsa tsebetso ea eona mesebetsing e itseng, hangata ka ho sekaseka li-dataset tse kholo. Phapang e ngoe e ka sehloohong pakeng tsa likhopolo tsena tse peli ke kamoo li finyellang lipakane tsa tsona. Sistimi ea AI e ka sebelisa mekhoa e fapaneng, ho kenyelletsa le litsamaiso tse thehiloeng ho melao, litsebetso tsa litsebi, le menahano e sa utloahaleng, ho thusa mechini ho etsisa bohlale ba motho. Ho Ithuta ka Mechini, ka lehlakoreng le leng, ho tsepamisitse maikutlo ho ntsetsopele ea li-algorithms tse ka ithutang ho data, ho tseba mekhoa, le ho bolela esale pele. Ka kakaretso, Artificial Intelligence ke mohopolo o pharalletseng o kenyelletsang mechini e khonang ho etsa mesebetsi eo hangata e ka hlokang bohlale ba motho, athe Machine Learning ke karoloana ea AI e shebaneng le ho sebelisa li-algorithms le mehlala ea lipalo ho thusa mechini ho ithuta ho data le ho ntlafatsa tsebo ea bona. tshebetso mesebetsing e itseng. 