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Tree of Thoughts (ToT) is an inference-time framework that explores candidate reasoning steps, evaluates intermediate states, and searches among branches.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
It can help on tasks that support useful intermediate evaluation, but results depend on the model, task, search budget, and evaluator.
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.
Kugadzirisa Mutambo we24 puzzle, apo nhamba ina dzinofanira kusanganiswa nesvomhu kuti dzisvike makumi maviri neina, nekuongorora nekuchekerera akawanda equation evamiriri.
Mabasa ekunyora ekugadzira apo modhi inodhirowa akati wandei mirairidzo, inoongorora kubatana, uye inovandudza iyo yakasimba kwazvo.
Humbowo hweMasvomhu kana matambudziko emazwi mazhinji-nhanho apo kudzoka kumashure kubva padanho rakakanganisika kwakakosha kuti uwane mhinduro chaiyo.
Constraint mapuzzle senge mini crosswords, uko modhi inoedza zvishoma inozadza uye inosiya matavi anotyora zviratidzo.
Tarisira kuti kufunga kwemaitiro emuti kupindire muajenti masisitimu uye 'kurangarira' modhi iyo inopa compute yakawedzera kumatambudziko akaoma panguva yekufungidzira. Kusiyana kwakafanana neGirafu yeMifungo inobvumira nzira kuti dzibatane uye dzishandisezve mhedzisiro yepakati, uye vaongorori vakadzidza vanogona kutsiva kukurumidza-kwakavakirwa zvibodzwa zvekuvimbika. Iyo yakafara maitiro ndeye kubata inference-nguva yekutsvaga sechinhu chinotakurika: shandisa yakawanda komputa uchiongorora mapazi epamusoro-soro mibvunzo, shoma kune iri nyore, kudzima mutsetse pakati pekukurudzira uye kuronga.
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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.
Iko ketani-ye-yepfungwa inotevera nzira imwechete, Muti weMifungo matavi mune akati wandei pfungwa dzevamiriri, anodziongorora, uye kumashure kubva kumagumo akafa.
ToT inobatanidza jenareta yemafungiro evavhoti, muongorori anoverengera nyika, uye nzira yekutsvaga (seBFS kana DFS) yekusarudza kuti ndeapi mapazi ekuwedzera.
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.
Iyo modhi pachayo inowanzoita semuongorori, ichitonga kuti nzira yega yega inovimbisa sei kuitira kuti kutsvaga kunogona kuchekerera matavi asina kusimba.
ToT inoronga kugona kweiyo modhi kuburikidza nekurudziro uye chiuno chekutsvaga; haigadzirise zviyero zviri pasi.
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InoteveraGaidhi rinotevera
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