<prompt> Hlalosa ka mantsoe a hao hore ho Ithuta ka Matla ke eng.nan  <response>: Instruction in English: Explain in your own words what Active Learning is. . Response in English: Active learning is a subset of machine learning where a model is trained in an interactive way. Rather than passively receiving all of its training data at one time, an active learner may ask a teacher often a human to provide specific new examples or additional information that will help it learn more effectively. The goal of active learning is to minimize the amount of training data needed to achieve a high level of performance, by selectively choosing which data to query for. This can be especially useful in scenarios when labeled data is scarce or expensive to obtain. Active learning allows the model to learn from the most informative examples, by querying the teacher for the labels of the data points it is most uncertain about, and therefore improving its performance in a more efficient way. . Response in Sesotho: Ho ithuta ka mafolofolo ke karolo e nyane ea ho ithuta ka mochini moo mohlala o koetlisoang ka tsela e sebelisanang. Ho e-na le ho amohela boitsebiso bohle ba eona ba koetliso ka nako e le ngoe, moithuti ea mafolofolo a ka kopa mosuoe hangata e le motho ho fana ka mehlala e mecha e tobileng kapa boitsebiso bo eketsehileng bo tla mo thusa ho ithuta ka katleho. Sepheo sa ho ithuta ka mafolofolo ke ho fokotsa palo ea lintlha tsa koetliso tse hlokahalang ho finyella boemo bo phahameng ba tsebetso, ka ho khetha ka ho khetheha hore na u batla lintlha life. Sena se ka ba molemo haholo maemong ao data e ngotsoeng e haella kapa e bitsa chelete e ngata ho e fumana. Ho ithuta ka mafolofolo ho lumella mohlala ho ithuta mehlaleng e rutang haholo, ka ho botsa tichere bakeng sa lileibole tsa lintlha tseo e sa tsitsang haholo ka tsona, ka hona ho ntlafatsa tsebetso ea eona ka tsela e atlehileng haholoanyane. 