Kediska Dhamaystirka Koodhka Tabnine

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

1. Waa maxay kala duwanaanshaha ugu weyn ee Tabnine iyo kaaliyeyaasha kale ee codeing AI?
   • Qarsoodinimada iyo xakamaynta, oo ay ku jirto goobta iyo meelaynta hawada ka maqan
   • Waxa kaliya oo ay ku shaqeysaa telefoonnada gacanta
   • Waa aaladda keliya ee qorta luqadda kulanka
   • Marna uma baahna internet oo ku shaqeeya warqad
2. Which statement about Tabnine’s history is most supportable from current official product documentation?
   • Tabnine launched after every other coding assistant
   • Use a dated official company announcement for launch timing; current documentation describes present features, not a comparative launch chronology
   • Tabnine is the oldest software company
   • Its launch date determines code quality
3. Si loo dhimo khatarta sharciga ah, Tabnine wuxuu xooga saarayaa tababbarka moodaladiisa nooca koodka?
   • Cod kasta oo meel kasta laga soo xoqay
   • Keliya koodka lahaanshaha isha-xiran
   • Koodhka isha furan ee shatiga u haysta
   • Kaliya code ayaa la qoray kadib 2024
4. What model-choice option does Tabnine document for Chat users?
   • Only a single fixed open-source model
   • Only a locally trained model with no administrator settings
   • Any model from any provider without policy differences
   • They may choose among Tabnine models or supported third-party models
5. Marka laga soo tago otomaatiga, waa maxay awoodaha dheeraadka ah ee Tabnine casriga ahi bixiyo?
   • Sheekaysi, tijaabi jiil, iyo sharaxaad code
   • Tafatirka muuqaalka iyo soo saarista muusiga
   • Kaliya iimaylada higgaadda hubinta
   • Maareynta mushaar bixinta
6. What does Tabnine’s provenance feature say it can do in supported configurations?
   • Guarantee that all generated code is original
   • Flag detected matches to publicly visible code and provide source/license information
   • Replace an organization’s legal review
   • Automatically approve every license
7. Why should developers review AI-suggested code before using it?
   • Code completion always compiles
   • Model training guarantees correctness
   • Suggestions can be incorrect, insecure, or incompatible with project requirements
   • A privacy option validates all code
8. What does Tabnine say happens to the code context sent for an inference request when the response returns?
   • It is always added to public training data
   • It is retained permanently in a public repository
   • It is sent to every third-party model provider
   • It is deleted immediately after the response for Tabnine models