Mutauro AI GUIDE

Zvishoma-kune-Zvikuru Kukurudzira

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

Pa peji ino2 min verenga
  1. Pfupiso
  2. Kudzika Kwakadzika
  3. Kuitwa muNyika yeChokwadi
  4. Ramangwana reZvishoma-ku-Kunyanya Kukurudzira
  5. Kuzvishandisa
  6. Ramba Uchiongorora
  7. Mibvunzo inowanzo bvunzwa

Pfupiso

Izvo zvine basa nekuti zvinoita kuti mamodheru atore mibvunzo zvakanyanya kuoma kupfuura mienzaniso yaakaratidzwa.

Kudzika Kwakadzika

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.

Kuitwa muNyika yeChokwadi

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.

Ramangwana reZvishoma-ku-Kunyanya Kukurudzira

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.

Kuzvishandisa

Nei zvichikosha

  • Kumhanya uye chiyero. Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana.
  • Svika uye svika. Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana.
  • Sarudzo dzakajeka. Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora.

Chenjera

  • Chokwadi chehuroyi chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana tsvakiridzo.
  • Kunzwa nekukasira kunogona kugadzira mhedzisiro isingaenderane pane zvikumbiro zvakafanana.
  • Sensitive text data inogona kuburitswa kana zvidhiraivho zvisina kusimba.

Matanho anotevera

  1. Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa.
  2. Mhinduro dzepasi neakavimbika masosi pese pazvine basa.
  3. Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda.
  4. Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva.

Ramba Uchiongorora

Tsamba yemahara

Tora iyo yemazuva ese AI pfupiso

Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.

Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.

Zviedze iwe pachako

Take the Least-to-Most Prompting quiz

Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.

Tanga mibvunzo

Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo

Mibvunzo inowanzo bvunzwa

Chii Chinonyanya-ku-Kunyanya Kukurudzira?

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.

Ndeapi matanho makuru maviri eIno-ku-Kunyanya-kukurudzira?

Inotanga yapwanya dambudziko kuita seti yakarongedzerwa yezvinyorwa zviri nyore, yozogadzirisa imwe neimwe mukutevedzana.

Ko Zvishoma-ku-Zvizhinji zvinosiyana sei kubva kune yakajairwa ketani-ye-yekufunga kukurudzira?

Chain-of-pfungwa zvikonzero mune imwe pass; zvishoma-kusvika-zvizhinji zvinoora zviripachena uye nemaketani emhinduro pamwe chete.

What kind of task does the SCAN benchmark use to test compositional generalization?

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.

Sei kurongeka kwemibvunzo kunokosha?

Matambudziko akarongwa saka rimwe nerimwe rinotsamira pane zvakambogadziriswa, zvichiita kuti mhinduro dzivake nemazvo.

Mhinduro dzepakati dzinoshandiswa sei panguva yekugadzirisa?

Imwe neimwe yakagadziriswa subanswer inowedzerwa kune inomhanya kukurumidza kuitira kuti anotevera matanho ave nemhedzisiro yavanoda.