<prompt> Thathamisa liphapang tse 4 lipakeng tsa maikutlo ana a mabeli.Artificial Intelligence le ho Ithuta ka Mochini  <response>: Instruction in English: List 4 differences between these two concepts. . Response in English: 1. Definition: Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to replicate human behavior and cognitive abilities. Machine Learning, on the other hand, is a subset of AI that uses algorithms and data to enable machines to improve their performance on a specific task without explicit programming.2. Scope: AI encompasses a broad range of technologies and techniques, including rule-based systems, expert systems, and neural networks. Machine learning, however, is narrower in scope and focuses specifically on the development of algorithms that can find patterns in data and make predictions.3. Learning process: AI systems can be programmed with a pre-defined set of responses and rules, whereas machine learning algorithms learn from the data theyre given, adapting their behavior over time as they are exposed to new data.4. Application: AI can be applied to a wide range of tasks, from understanding human speech to solving complex problems. Machine learning, on the other hand, is typically used in tasks that involve prediction, such as fraud detection or forecasting. . Response in Sesotho: 1. Tlhaloso: Artificial Intelligence e bolela ketsiso ea bohlale ba motho ka hara mechine e hlophisitsoeng ho etsisa boitšoaro ba motho le matla a kelello. Ho Ithuta ka Mochini, ka lehlakoreng le leng, ke karoloana ea AI e sebelisang li-algorithms le data ho thusa mechini ho ntlafatsa tsebetso ea eona mosebetsing o itseng ntle le mananeo a hlakileng. 2. Scope: AI e akaretsa mefuta e mengata ea thekenoloji le mekhoa, ho kenyelletsa le mekhoa e thehiloeng ho melao, mekhoa ea litsebi, le marang-rang a methapo. Ho ithuta ka mochini, leha ho le joalo, ho na le boholo bo fokolang me ho tsepamisitsoe ka ho khetheha ntlafatsong ea li-algorithms tse ka fumanang mekhoa ho data le ho bolela esale pele. 3. Mokhoa oa ho ithuta: Litsamaiso tsa AI li ka hlophisoa ka sete ea likarabo le melao e boletsoeng esale pele, athe li-algorithms tsa ho ithuta ka mochini li ithuta ho tsoa ho data eo li e filoeng, ho fetola boitšoaro ba tsona ha nako e ntse e ea ha li ntse li pepesetsoa data e ncha. 4. Kopo: AI e ka sebelisoa mesebetsing e mengata e fapaneng, ho tloha ho utloisisa puo ea motho ho rarolla mathata a rarahaneng. Ho ithuta ka mochini, ka lehlakoreng le leng, hangata ho sebelisoa mesebetsing e kenyelletsang ho bolela esale pele, joalo ka ho lemoha bomenemene kapa ho bolela esale pele. 