Kediska Geedka Fikirka

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Sidee buu Geedka Fikirka uga duwan yahay kicinta fekerka?
   • Waxay sahamisaa laamo badan oo sababaynta waxayna dib u noqon kartaa
   • Waxay dib u tababartaa moodalka xogta cusub
   • Waxay meesha ka saartaa dhammaan tillaabooyinka sababaynta dhexdhexaadka ah
   • Waxay u shaqeysaa oo kaliya jiilka sawirka
2. Waa kuwee saddexda qaybood ee ka kooban nidaamka Geedka Fikradaha?
   • Tokenizer, dhejiye, iyo cod-bixiye
   • Soosaaraha fikirka, qiimaynta gobolka, iyo algorithm raadinta
   • Encoder, madaxa dareenka, iyo softmax
   • Xog-samaynta, hagaajinta, iyo shaqada luminta
3. In the original Tree of Thoughts Game of 24 experiment, what result did breadth-five search report for its selected test set?
   • 100% success on every possible puzzle
   • 74% for every model and search budget
   • 74% success for GPT-4 with ToT, versus 4% for a single chain-of-thought baseline
   • 4% for ToT and 74% for chain-of-thought
4. Sidee buu nidaamka Fikradaha u qiimeeyaa xalalka qayb ahaan?
   • Adiga oo waydiinaya xog-ururin dibadeed
   • Iyadoo la cabbirayo heerkulka GPU-da
   • Iyadoo la tiriyay tirada calaamadaha la isticmaalay
   • Adiga oo ku dhiirigelinaya moodelka inuu qiimeeyo gobolada hubaal, laga yaabee, ama aan macquul ahayn
5. Maxaa ka run ah hirgelinta Geedka Fikradaha ee qaabka jira?
   • Waa kicinta iyo duubista raadinta, ma aha dib u tabobar
   • Waxay u baahan tahay in dib loo tababaro qaabka meel eber ah
   • Waxa kaliya oo ay ku shaqayn kartaa qalab gaar ah
   • Waxay si joogto ah u beddeshaa miisaanka modelka
6. Qaabkee la xidhiidha ayaa u oggolaanaya dariiqyada caqli-galku inay midoobaan oo ay dib u isticmaalaan natiijooyinka dhexdhexaadka ah?
   • Dib u noqoshada toosan
   • Sawirka Fikirka
   • Dufcaddii caadiga ahayd
   • manjooyin ballaran beam
7. Which components are commonly specified in a Tree of Thoughts setup?
   • A new tokenizer, an optimizer, and a training corpus
   • A database, a browser, and a GPU driver
   • Thought proposals, an intermediate-state evaluator, and a search procedure
   • A label encoder, a loss scaler, and a checkpoint
8. Why can Tree of Thoughts increase inference cost?
   • It always retrains the base model
   • It requires a separate model for every token
   • It eliminates all model calls after the first thought
   • It may generate and evaluate multiple candidate states across search steps