<prompt> Hlalosa hore na ke hobaneng ha likhomphieutha li potlakile ho feta batho ho rarolla mathata a lipalo.nan  <response>: Instruction in English: Explain why computers are faster than humans in solving math problems. . Response in English: There are several reasons why computers are faster than humans in solving math problems:1. Processing speed: Computers are designed to process information at an incredibly high speed. They are equipped with powerful processors that can perform billions of calculations per second, making them much more efficient than the human brain in terms of raw processing power when solving mathematical problems.2. Precise algorithms: Computers use precise algorithms and sequences of instructions to solve mathematical problems. These algorithms are specifically designed to solve certain types of problems in the most efficient manner possible, often taking advantage of shortcuts, patterns and parallel processing techniques that humans would struggle to identify and exploit.3. Lack of distractions: Unlike humans, computers do not get distracted, tired or bored. They can work tirelessly and continuously without their performance being affected. This means they can solve complex mathematical problems over extended periods of time without making mistakes or losing focus.4. No mental fatigue: Humans are susceptible to mental fatigue, which can greatly impact our ability to solve mathematical problems. As we become tired or lose focus, we may start making mistakes or become less efficient. Computers, on the other hand, do not suffer from mental fatigue, and their performance remains constant over time.5. Large memory capacity: Computers have the ability to store large amounts of data and retrieve it quickly. This means they can hold vast quantities of information in their memory and rapidly access the data required to solve a mathematical problem. Humans, on the other hand, are limited by their memory capacity and can struggle to remember all the necessary information when solving complex problems.Overall, computers are faster than humans in solving math problems due to their high processing speed, precise algorithms, lack of distractions, constant performance, and large memory capacity. . Response in Sesotho: Ho na le mabaka a maloa a hore na ke hobaneng ha likhomphieutha li potlakile ho feta batho ho rarolla mathata a lipalo: 1. Lebelo la ho sebetsa: Likhomphieutha li etselitsoe ho sebetsana le boitsebiso ka lebelo le phahameng ka mokhoa o hlollang. Li na le li-processor tse matla tse khonang ho etsa lipalo tse limilione tse likete ka motsotsoana, e leng se etsang hore li sebetse hantle ho feta boko ba motho mabapi le matla a tala a ho sebetsa ha ho rarolla mathata a lipalo. 2. Litaelo tse nepahetseng: Likhomphieutha li sebelisa li-algorithms tse nepahetseng le tatelano ea litaelo ho rarolla mathata a lipalo. Li-algorithms tsena li etselitsoe ho rarolla mefuta e itseng ea mathata ka mokhoa o nepahetseng ka ho fetesisa, hangata ho nka monyetla ka likhutšoane, lipaterone le mekhoa e tsoanang ea tsebetso eo batho ba neng ba tla sokola ho e tseba le ho e sebelisa. 3. Ho hloka litšitiso: Ho fapana le batho, likhomphieutha ha li ferekane, ha li khathale kapa hona ho teneha. Ba ka sebetsa ka thata le ka mokhoa o tsoelang pele ntle le hore tsebetso ea bona e amehe. Sena se bolela hore ba ka rarolla mathata a rarahaneng a lipalo ka nako e telele ntle le ho etsa liphoso kapa ho lahleheloa ke maikutlo. 4. Ho se khathale kelellong: Batho ba kotsing ea ho khathala kelellong, e leng se ka amang bokhoni ba rona ba ho rarolla mathata a lipalo haholo. Ha re ntse re khathala kapa re lahleheloa ke mohopolo, re ka na ra qala ho etsa liphoso kapa ra se ke ra sebetsa hantle. Likhomphieutha, ka lehlakoreng le leng, ha li tšoenyehe ke mokhathala oa kelello, me tsebetso ea tsona e lula e le teng ka mora nako. 5. Bokhoni bo boholo ba mohopolo: Likhomphieutha li na le bokhoni ba ho boloka boitsebiso bo bongata le ho bo fumana kapele. Sena se bolela hore ba ka boloka lintlha tse ngata mohopolong oa bona mme ba fihle kapele ho data e hlokahalang ho rarolla bothata ba lipalo. Ka lehlakoreng le leng, batho ba lekanyelitsoe ke matla a bona a ho hopola me ba ka thatafalloa ho hopola boitsebiso bohle bo hlokahalang ha ba rarolla mathata a rarahaneng. Ka kakaretso, likhomphieutha li potlakile ho feta batho ho rarolla mathata a lipalo ka lebaka la lebelo le phahameng la tsebetso, li-algorithms tse nepahetseng, khaello ea litšitiso, tsebetso e sa khaotseng, le matla a maholo a ho hopola. 