Èdè AI Itọsọna
Igi Ero
Tree of Thoughts (ToT) is an inference-time framework that explores candidate reasoning steps, evaluates intermediate states, and searches among branches.
Gbọ si itọsọna yiiAI-ṣe afihan · ~2 min
Lori iwe yi2 min ka
Akopọ
It can help on tasks that support useful intermediate evaluation, but results depend on the model, task, search budget, and evaluator.
Jin Dive
Chain-of-thought prompting typically follows one generated sequence, while Tree of Thoughts represents problem solving as search over intermediate states. A system proposes candidate thoughts, scores or classifies states, and uses a search procedure such as breadth-first search to expand promising branches or backtrack from dead ends. The original paper evaluates ToT on Game of 24, creative writing, and mini crosswords. In its Game of 24 setup, GPT-4 with a breadth-five ToT search achieved 74% success on the selected test set, compared with 4% for a single chain-of-thought baseline. This is a result for a particular model, prompt, benchmark subset, and search budget—not a general performance guarantee. ToT also uses additional model calls and depends on useful state evaluations.
Real-World imuse
Ipinnu Ere ti 24 adojuru, nibiti awọn nọmba mẹrin gbọdọ wa ni idapo pelu isiro lati de ọdọ 24, nipa ṣawari ati gige ọpọlọpọ awọn idogba oludije.
Awọn iṣẹ ṣiṣe kikọ ẹda nibiti awoṣe ṣe agbekalẹ awọn itọsọna idite pupọ, ṣe iṣiro isomọ, ati idagbasoke ọkan ti o lagbara julọ.
Awọn ẹri mathematiki tabi awọn iṣoro ọrọ-igbesẹ lọpọlọpọ nibiti ẹhin ipadabọ lati igbesẹ ti o ni abawọn jẹ pataki lati de idahun to pe.
Awọn adojuru idiwọ bii awọn ọrọ agbekọja kekere, nibiti awoṣe ṣe idanwo awọn kikun apakan ati fi awọn ẹka silẹ ti o rú awọn amọran.
Ojo iwaju ti igi ti ero
Reti ijumọsọrọ ara igi lati gba sinu awọn ọna ṣiṣe aṣoju ati awọn awoṣe 'ipinnu' ti o pin iṣiro afikun si awọn iṣoro lile ni akoko itọkasi. Awọn iyatọ bii Aworan ti Awọn ero gba awọn ọna laaye lati dapọ ati tun lo awọn abajade agbedemeji, ati awọn oluyẹwo ti kọ ẹkọ le rọpo igbelewọn ti o da ni kiakia fun igbẹkẹle. Ilọsiwaju ti o gbooro ni ṣiṣe itọju wiwa-akoko inferangẹgẹ bi koko ti o le tun ṣe: lo iṣiro diẹ sii lati ṣawari awọn ẹka fun awọn ibeere ti o ga, kere si awọn ti o rọrun, titọ laini laarin itasi ati igbero.
Fifi o sinu iwa
Kini idi ti o ṣe pataki
- Iyara ati iwọn. Ṣiṣan iṣẹ ede le gbe ni iyara laisi irubọ aitasera.
- Wiwọle ati arọwọto. O faagun iraye si kọja awọn ede ati awọn aza ibaraẹnisọrọ.
- Awọn ipinnu diẹ sii. Awọn ẹgbẹ le lo akoko diẹ sii lori idajọ lakoko ti adaṣe n kapa atunwi.
Ṣọra fun
- Awọn otitọ ti a sọ di mimọ le tẹ awọn ijabọ sii ni idakẹjẹ, awọn ṣiṣan atilẹyin, tabi awọn abajade iwadii.
- Ifamọ kiakia le ṣẹda awọn abajade aisedede kọja awọn ibeere ti o jọra.
- Awọn data ọrọ ifarabalẹ le farahan ti awọn idari wiwọle ko lagbara.
Next awọn igbesẹ
- Ṣetumo ọna kika iṣẹjade, ohun orin, ati awọn iṣedede didara ṣaaju ṣiṣejade.
- Awọn idahun ilẹ pẹlu awọn orisun ti o gbẹkẹle nigbakugba ti deede ba ṣe pataki.
- Jeki aaye ayẹwo atunyẹwo eniyan fun awọn abajade ti o ga julọ.
- Tọpinpin awọn ilana ikuna ati tunṣe awọn itọsi tabi ṣiṣan iṣẹ nigbagbogbo.
Tesiwaju Ṣiṣawari
Ìwé ìròyìn ọfẹ
Gba ìkànìyàn AI ojoojúmọ́
Ìtàn AI mẹta tó jẹ́rìí ní gbogbo owurọ́ ọjọ́ iṣẹ́, kọ́wé ní Gẹ̀ẹ́sì tó rọrùn. Ọfẹ́ fún gbogbo àkókò, kò sí ìpolówó.
Ìmeèlì kan ní gbogbo ọjọ́ iṣẹ́. Yọkúrò ní ìkànìyàn ní ìkànìyàn kan. A kò ta tàbí pín àdírẹ́sì rẹ.
Ṣe idanwo fun ara rẹ
Take the Tree of Thoughts quiz
Ìdáhùn lẹ́sẹ̀kẹsẹ̀ lórí gbogbo ìdáhùn, àti iwe-ẹ̀rí tó lè pin pẹ̀lú ID tó lè jẹ́rìí lẹ́yìn tí o bá kọ́ ẹ̀kọ́.
Ṣe àtìlẹ́yìn ẹ̀kọ́ AI ọfẹ́. AI Understanding jẹ́ àjọ àìní èrè 501(c)(3) — kò sí ìpolówó, kò sí àkúnya owó, ní gbogbo àkókò. Ṣe ẹbun kan
Awọn ibeere ti a beere nigbagbogbo
Kini Igi ti Awọn ero?
Tree of Thoughts (ToT) is an inference-time framework that explores candidate reasoning steps, evaluates intermediate states, and searches among branches. It can help on tasks that support useful intermediate evaluation, but results depend on the model, task, search budget, and evaluator.
Bawo ni Igi Awọn ero ṣe yato ni ipilẹṣẹ si itọsi-pipin-ero?
Ibi ti pq-ti-ero wọnyi ọkan laini ona, Igi ti ero ẹka sinu orisirisi tani ero, akojopo wọn, ati backtracks lati okú opin.
Awọn ẹya mẹta wo ni o jẹ eto Igi ti Awọn ero?
ToT so olupilẹṣẹ ti awọn ero oludije pọ, oluyẹwo ti o ṣe awọn ipinlẹ apa kan, ati ilana wiwa (bii BFS tabi DFS) lati pinnu iru awọn ẹka lati faagun.
In the original Tree of Thoughts Game of 24 experiment, what result did breadth-five search report for its selected test set?
The 74% figure is reported for a particular GPT-4 ToT setup and selected test examples, so it should not be generalized to all tasks or models.
Bawo ni eto Igi Awọn ero ṣe n ṣe iṣiro awọn ojutu apa kan?
Awoṣe funrararẹ maa n ṣiṣẹ bi oluyẹwo, ṣiṣe idajọ bi o ṣe jẹ ileri ọna apakan kọọkan ki wiwa le ge awọn ẹka alailagbara.
Kini otitọ nipa imuse Igi Awọn ero lori awoṣe to wa tẹlẹ?
ToT ṣe agbekalẹ awọn agbara ti o wa tẹlẹ ti awoṣe nipasẹ awọn itọsi ati lupu wiwa; ko ṣe atunṣe awọn iwuwo ti o wa labẹ.
Tesiwaju kikọ
Jẹmọ awọn itọsọna
Awọn itọsọna diẹ sii ti a yan fun koko yii