<prompt> Ngola algorithm bakeng sa ho khutlisa tlhahisoleseling e nepahetseng bakeng sa sehlooho se fanoeng.Bohlale ba maiketsetso  <response>: Instruction in English: Write an algorithm for retrieving the most relevant information for a given topic. . Response in English: The algorithm for retrieving the most relevant information for a given topic could involve the following steps:Step 1: Determine keywords and related terms- Identify the main keyword and additional related terms or synonyms that may be used to search for relevant information. Step 2: Access a search engine - Access a reputable search engine to retrieve information. Step 3: Input keywords- Input the main keyword and additional related terms, including filters like date and relevancy, into the search engine, and execute the search. Step 4: Evaluate the search results- Evaluate the results of the search to identify the most relevant information. - This can be performed based on several factors such as, the source of the information, the date of publication, the author, and the amount of citations.Step 5: Retrieve the relevant information- Retrieve the most relevant information from the sources identified in the previous step Step 6: Review the content- Review the retrieved information to assess its relevance, credibility, and accuracy. Discard any information that does not meet these criteria. Step 7: Organize the information- Organize the relevant information in a structured and logical manner to facilitate easy access and understanding. Step 8: Present the information- Present the information to the user in a clear, concise, and easy-to-digest format.This algorithm can be used to retrieve relevant information on any given topic. In the case of the input Artificial Intelligence, the algorithm will first identify related terms such as machine learning, deep learning, neural networks, and other related keywords. Once this information is input into a reputable search engine, the results will be analyzed and the most relevant information retrieved, reviewed, organized, and presented to the user. . Response in Sesotho: Algorithm bakeng sa ho khutlisa tlhahisoleseling e nepahetseng bakeng sa sehlooho se fanoeng e ka kenyelletsa mehato e latelang: Mohato oa 1: Fumana mantsoe a bohlokoa le mantsoe a amanang le ona - Hlalosa mantsoe a sehlooho le mantsoe a mang a amanang le ona kapa mantsoe a tšoanang a ka sebelisoang ho batla tlhahisoleseling e nepahetseng. Mohato oa 2: Fumana enjine ea ho batla - Fumana enjene ea ho batla e tsebahalang ho fumana lintlha. Mohato oa 3: Kenya mantsoe a sehlooho - Kenya lentsoe la sehlooho le mantsoe a mang a amanang le ona, ho kenyeletsoa lihloela tse kang letsatsi le bohlokoa, ka hara enjineng ea ho batla, me u phethe patlisiso. Mohato oa 4: Lekola liphetho tsa lipatlisiso - Lekola liphetho tsa patlo ho tseba lintlha tse nepahetseng. - Sena se ka etsoa ho ipapisitsoe le lintlha tse maloa tse kang, mohloli oa tlhahisoleseling, letsatsi la phatlalatso, mongoli, le palo ea mantsoe a qotsitsoeng. Mohato oa 5: Khutlisetsa tlhahisoleseding e nepahetseng - Khutlisa lintlha tse bohlokoa ka ho fetisisa mehloling e boletsoeng mohatong o fetileng Mohato oa 6: Hlahloba litaba - Hlahloba lintlha tse nkiloeng hape ho hlahloba bohlokoa ba tsona, botšepehi le ho nepahala. Lahla tlhahisoleseding efe kapa efe e sa fihlelleng maemo ana. Mohato oa 7: Hlophisa tlhahisoleseding - Hlophisa lintlha tse amehang ka mokhoa o hlophisitsoeng le o utloahalang ho nolofatsa phihlello le kutloisiso. Mohato oa 8: Hlahisa lintlha - Hlahisa lintlha ho mosebelisi ka mokhoa o hlakileng, o khutsoane, hape o bonolo ho o cheka. Algorithm ena e ka sebelisoa ho fumana lintlha tse nepahetseng mabapi le sehlooho se fanoeng. Tabeng ea ho kenya Artificial Intelligence, algorithm e tla qala ho khetholla mantsoe a amanang le thuto ea mochine, thuto e tebileng, neural networks, le mantsoe a mang a amanang le eona. Hang ha lintlha tsena li kentsoe mochineng oa ho batla o tsebahalang, liphetho li tla hlahlobjoa, me boitsebiso bo bohlokoa ka ho fetisisa bo tla fumanoa, bo hlahlojoe, bo hlophisoe, me bo hlahisoe ho mosebedisi. 