<prompt> Fana ka mohlala oa phello ea ho sebelisa mohlala o tebileng oa ho ithuta ho etsa mosebetsi.nan  <response>: Instruction in English: Give an example of the consequence of using a deep learning model to perform a task. . Response in English: One example of the consequence of using a deep learning model to perform a task can be observed in the deployment of image recognition for security systems. If the model is trained to recognize and grant access to authorized individuals based on their facial features, it may cause both false positives and false negatives. False positives occur when the model misidentifies an unauthorized individual as an authorized one, thus granting them access to restricted areas. False negatives, on the other hand, take place when the model fails to recognize an authorized person and denies access. In such a case, the consequences could range from mere inconvenience to serious security breaches. . Response in Sesotho: Mohlala o mong oa phello ea ho sebelisa mohlala o tebileng oa ho ithuta ho etsa mosebetsi o ka hlokomeloa ha ho etsoa tlhahiso ea litšoantšo bakeng sa litsamaiso tsa tšireletso. Haeba mohlala o koetliselitsoe ho lemoha le ho fana ka monyetla oa ho fihlella batho ba lumelletsoeng ho latela lifahleho tsa bona, o ka baka maikutlo a fosahetseng le a fosahetseng. Maemo a fosahetseng a etsahala ha mohlala o sa tsebise motho ea sa lumelloeng ka molao e le ea nang le tumello, kahoo o ba fa monyetla oa ho kena libakeng tse thibetsoeng. Ka lehlakoreng le leng, li-negative tsa bohata li etsahala ha mohlala o hlōleha ho lemoha motho ea nang le tumello me o hana ho kena. Boemong bo joalo, liphello e ka na ea e-ba tšitiso feela ho ea ho tlōlo e tebileng ea tšireletso. 