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Zvishoma-kune-Zvikuru zvinokurudzira zvinotyora dambudziko rakaoma munhevedzano yezvipingamupinyi zviri nyore, kuzvigadzirisa kuitira kuti mhinduro yega yega inodyisa inotevera.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Izvo zvine basa nekuti zvinoita kuti mamodheru atore mibvunzo zvakanyanya kuoma kupfuura mienzaniso yaakaratidzwa.
Least-to-Most prompting, introduced by Zhou and colleagues at Google in 2022, has two stages. First, the model is prompted to decompose a complex question into an ordered list of easier subquestions. Second, it solves those subquestions one at a time, appending each solved answer to the context so later steps can build on earlier ones. This differs from chain-of-thought, which reasons in a single pass without explicit decomposition. The authors evaluated symbolic manipulation, math reasoning, and SCAN, a compositional-generalization benchmark built from natural-language commands. For the specific SCAN setup using GPT-3 code-davinci-002 and 14 exemplars, Least-to-Most reached at least 99% accuracy across the tested splits, including the length split, compared with 16% for chain-of-thought prompting. This is a result for that model, prompt setup, and benchmark, not a general accuracy guarantee.
Kugadzirisa dambudziko rezwi rematanho akawanda nekutanga kunyora huwandu hwekuverengera, wobva waaisa muhurongwa.
Mutauro wekubatanidza mabasa sekushandura mirairo mirefu kuita nhanho dzechiito kubva mumienzaniso mipfupi
Kupindura mubvunzo wakaoma wekutsvagisa nekuutyora kuita mibvunzo midiki ine mhinduro dzinosangana mumhinduro yekupedzisira
Kunyora chirongwa nekuchiisa mumabasa emubatsiri anogadziriswa rimwe panguva, rimwe nerimwe richishandiswa zvakare nematanho anotevera.
Zvishoma-kune-Mazhinji mazano zvino anotsigira akawanda ejenti uye anoronga zvivakwa zvinopatsanura zvibodzwa kuita akaodha subtasks asati aita. Tarisira mahybrids ane maturusi ekushandisa, apo mubvunzo wega wega unogona kuburitsa karukureta, kutsvaga, kana kufona kwekodhi, uye nekuzvimiririra kune dzimwe mhinduro dzakasimba. Tsvagiridzo iri kuongororawo kuparara kweotomatiki kunogadzirisa kudzika kune dambudziko, uye nekuisanganisa nekuona kuti mhinduro diki isiriyo yepakutanga haishatise chinyararire cheni yese yakadzika.
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Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
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Zvishoma-kune-Zvikuru zvinokurudzira zvinotyora dambudziko rakaoma munhevedzano yezvipingamupinyi zviri nyore, kuzvigadzirisa kuitira kuti mhinduro yega yega inodyisa inotevera. Izvo zvine basa nekuti zvinoita kuti mamodheru atore mibvunzo zvakanyanya kuoma kupfuura mienzaniso yaakaratidzwa.
Inotanga yapwanya dambudziko kuita seti yakarongedzerwa yezvinyorwa zviri nyore, yozogadzirisa imwe neimwe mukutevedzana.
Chain-of-pfungwa zvikonzero mune imwe pass; zvishoma-kusvika-zvizhinji zvinoora zviripachena uye nemaketani emhinduro pamwe chete.
SCAN tests compositional generalization using commands that map language to action sequences; the Least-to-Most paper evaluates whether prompts transfer to harder command compositions.
Matambudziko akarongwa saka rimwe nerimwe rinotsamira pane zvakambogadziriswa, zvichiita kuti mhinduro dzivake nemazvo.
Imwe neimwe yakagadziriswa subanswer inowedzerwa kune inomhanya kukurumidza kuitira kuti anotevera matanho ave nemhedzisiro yavanoda.
Ramba uchidzidza
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InoteveraGaidhi rinotevera
Socratic Prompts Inoita Kuti AI Idzidzise Iwe
Mutauro AI