<prompt> Ngola kakaretso ea pampiri e fanoeng ho kenyelletsong.Kakaretso: Litlhahiso tse tsoelang pele tsa tokiso e nepahetseng bakeng sa mesebetsi eo u batlang ho e etsa e sa tsoa hlaha e le mokhoa o kopaneng ho fapana le tokiso e felletseng ea mohlala. Ka ho susumetsoa ke liphetho tsena tse tšepisang, re batlisisa monyetla oa ho fumana tlhaloso e hlakileng ea mongolo ea litlatsetso tse tsoelang pele tse tšepahalang bothateng boo ba bo rarollang. Ka tsebetso, re bona boitšoaro lipakeng tsa mosebetsi o rarolloang ka likhothaletso tse tsoelang pele le likhakanyo tse hlakileng tsa baahelani ba bona: Re ka fumana likhothaletso tse tsoelang pele tse rarollang mosebetsi ha re ntse re hlahisa mongolo o sa lumellaneng mohlala, tlhaloso ea e fapaneng kapa mosebetsi o hanyetsanang, ha o ntse o le ka hara moeli o monyenyane haholo 2 oa tsebetso e tsoelang pele ea boholo bo lekanang bakeng sa mosebetsi. Re fana ka maikutlo a mabapi le boitsoaro bona bo makatsang le bo makatsang, hammoho le litlhahlobo tse matla tse lekanyang phello ea liparamente tse fapaneng. Mohlala, bakeng sa mefuta e meholoanyane, re bona bofokoli bo phahameng, ke hore, re ka fumana lintlha tse mabapi le mongolo o mong le o mong o fapaneng ka ho nepahala. Liphuputso tsena li na le litlamorao tsa bohlokoa tse amanang le bothata ba ho toloka litlatsetso tse tsoelang pele ka botsepehi le kakaretso ea tsona ho pholletsa le mehlala le mesebetsi, ho fana ka tataiso bakeng sa tsoelo-pele ea nako e tlang ea ho khothaletsa mehlala ea lipuo.  <response>: Instruction in English: Write a summary for the paper given in the input. . Response in English: The paper investigates the relationship between continuous prompts and their discrete projections in fine-tuning language models for target tasks. The authors observed a wayward behavior where continuous prompts can solve a task while being projected to an arbitrary text, with a very small margin from the best prompt. This behavior increases with larger model sizes. This has significant implications for interpreting continuous prompts and their generalization. The paper provides intuitions and empirical analysis to guide future progress in prompting language models. . Response in Sesotho: Pampiri e batlisisa kamano e teng lipakeng tsa likhothaletso tse sa khaotseng le likhakanyo tsa tsona tse hlakileng mefuteng e hlophisitsoeng ea puo bakeng sa mesebetsi e lebeletsoeng. Bangoli ba hlokometse boitšoaro bo khelohileng moo litlatsetso tse tsoelang pele li ka rarollang mosebetsi ha li ntse li hlahisoa ho sengoloa se ikhethileng, se nang le moeli o monyane haholo ho tsoa kapele. Boitšoaro bona bo eketseha ka boholo bo boholo ba mohlala. Sena se na le litlamorao tse kholo bakeng sa ho toloka litlatsetso tse tsoelang pele le kakaretso ea tsona. Pampiri e fana ka maikutlo le tlhahlobo ea matla ho tataisa tsoelo-pele ea nako e tlang ea ho susumetsa mehlala ea lipuo. 