<prompt> Hlalosa liqholotso tsa mantlha tsa ho theha litsebetso tsa AI.nan  <response>: Instruction in English: Identify the key challenges of developing AI applications. . Response in English: Developing AI applications involves several challenges that researchers, developers and engineers need to address to ensure that the resulting systems are robust, reliable, and capable of meeting the desired outcomes. Some of these challenges include:1. Data challenges: AI systems require large volumes of high quality, labeled data to train their algorithms. Collecting, cleaning, and labeling such data can be time-consuming and expensive.2. Algorithmic bias: AI systems can be susceptible to bias, where the outcomes of their decisions unfairly affect certain groups of people. This can arise from biased training data, incomplete data or flawed algorithms.3. Ethical and legal concerns: With AI systems making decisions and interacting with people, it is important to ensure that they adhere to societal norms, values, and laws. Ethical and legal frameworks for AI are still being developed, and there is a need for greater clarity and transparency in these areas.4. Explainability and interpretability: AI systems can sometimes be opaque, making it difficult to understand how they arrived at a particular decision. This can erode trust in the system and make it challenging to diagnose and correct errors.5. Technical challenges: Developing AI systems requires expertise in a wide range of technical areas including mathematics, statistics, computer science, and engineering. Creating robust AI applications that can operate reliably in complex, real-world environments is an ongoing challenge.6. Hardware limitations: Many AI applications require significant computational power to train and operate. This can limit the scalability of AI systems and increase their cost.7. Integration with existing systems: AI applications need to interface with existing systems and processes, which can be complex and require significant customization.Overall, developing AI applications is a complex and challenging process, requiring a careful consideration of technical, ethical, legal, and practical issues. . Response in Sesotho: Ho ntsetsapele litsebetso tsa AI ho kenyelletsa mathata a maloa ao bafuputsi, bahlahisi le baenjiniere ba lokelang ho sebetsana le ona ho netefatsa hore litsamaiso tse hlahisoang li tiile, li ka tšeptjoa ebile li khona ho fihlela sephetho se lakatsehang. Tse ling tsa liqholotso tsena li kenyelletsa: 1. Liphephetso tsa data: Sistimi ea AI e hloka lintlha tse ngata tsa boleng bo holimo, tse ngotsoeng ho koetlisa algorithms ea tsona. Ho bokella, ho hloekisa, le ho ngola boitsebiso bo joalo ho ka ja nako le ho bitsa chelete e ngata. 2. Leeme la algorithmic: Litsamaiso tsa AI li ka ba le leeme, moo liphello tsa liqeto tsa bona li amang lihlopha tse itseng tsa batho ka leeme. Sena se ka hlaha ho tsoa ho data ea koetliso e leeme, data e sa fellang kapa li-algorithms tse fosahetseng. 3. Matšoenyeho a boitšoaro le a molao: Ha litsamaiso tsa AI li etsa liqeto le ho sebelisana le batho, ho bohlokoa ho netefatsa hore li latela litloaelo, litekanyetso le melao ea sechaba. Merero ea melao ea boitšoaro le ea molao bakeng sa AI e ntse e ntlafatsoa, me ho hlokahala hore ho be le ho hlaka le ho pepeseha libakeng tsena. 4. Tlhaloso le tlhaloso: Mekhoa ea AI ka linako tse ling e ka ba lerootho, e etsa hore ho be thata ho utloisisa hore na ba fihletse qeto e itseng joang. Sena se ka senya tsepo ea sistimi mme sa etsa hore ho be thata ho fumana le ho lokisa liphoso. 5. Liphephetso tsa tekheniki: Ho ntsetsapele litsebetso tsa AI ho hloka boiphihlelo libakeng tse fapaneng tsa tekheniki ho kenyelletsa lipalo, lipalo, saense ea khomphutha le boenjiniere. Ho theha litsebetso tse matla tsa AI tse ka sebetsang ka tsepo maemong a rarahaneng, a nnete ke phephetso e tsoelang pele. 6. Mefokolo ea lisebelisoa: Lisebelisoa tse ngata tsa AI li hloka matla a maholo a computational ho koetlisa le ho sebetsa. Sena se ka fokotsa scalability ea litsamaiso tsa AI le ho eketsa litšenyehelo tsa tsona. 7. Ho kopanya le mekhoa e teng: Likopo tsa AI li hloka ho hokahanya le mekhoa le mekhoa e teng, e ka ba e rarahaneng mme e hloka hore motho a be le mekhoa e metle. Ka kakaretso, ho ntsetsapele litsebetso tsa AI ke tsebetso e rarahaneng le e phephetsang, e hlokang ho shejoa ka hloko litabeng tsa tekheniki, tsa boitšoaro, tsa molao le tse sebetsang. 