Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Magic AI Long-Context Code Model Kedis

Sahami moodooyinka Magic's LTM, soo celinta macnaha guud, qiimaynta HashHop, sababaynta codebase, iyo dhibaatada kharashka yoolalka algorithm ee taxanaha ah.

Wadooyinka haga ee la xidhiidhaMoodooyinka Koodhka Macnaha dheer ee Magic AI
Su'aal 1 ee 8

Waa maxay jihada horumarinta software-ka uu Magic sheegay in uu ku raad joogo?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa maxay jihada horumarinta software-ka uu Magic sheegay in uu ku raad joogo?
    • Horumarinta moodooyinka AI iyo wakiilada hawlaha injineernimada software
    • Ku beddelashada dhammaan kaydka software-ka oo lagu beddelayo xog-ururin
    • Dhisidda adeeg OCR-kaliya xaashida
    • Soo saarista koodka adiga oo aan tixgelinaynin macnaha guud
  2. Waa maxay awoodda macnaha guud ee Magic ku dhawaaqay LTM-2-mini Agoosto 2024?
    • Ilaa 100 kun oo calaamad
    • Ilaa 100 milyan oo token
    • Ilaa 1 milyan oo calaamado ah
    • Ilaa 10 bilyan oo calaamado ah
  3. Muxuu Magic u isticmaalaa HashHop si uu u qiimeeyo?
    • Sida wanaagsan ee moodalku u saadaaliyo xaqiiqo la yaqaan oo ka timaadda tababarka hore
    • Haddii koodhka isha la abuuray uu dhaafo imtixaan kasta oo wax soo saar ah
    • Soo celinta iyo silsiladaynta xashiishyada lamaanaha ah ee aan tooska ahayn ee lagu meeleeyay macne dheer oo la bixiyay
    • Sida ugu dhaqsaha badan moodelku u ururiyo luuqad barnaamijeed cusub
  4. Waa maxay sababta fiiro gaar ah u yeelashada transformer-ka ay dhibaato ugu tahay 100-milyan ee macnaha guud?
    • Waxba maaha
    • Waxay u shaqeysaa offline kaliya
    • Waxay tirtirtaa gelinta
    • Waxay u miisaamaysaa afar ahaan dhererka isku xigxiga, oo noqonaysa mid qaali ah
  5. Shirkaddee la wadaagtay Magic 2024 si ay u dhisto kombuyuutarrada waaweyn?
    • Google Daruur
    • Apple
    • Spotify
    • Adobe
  6. What does a larger context window make possible for a coding task?
    • Ku-qorista degdega ah ee kiiboodhka
    • Include more cross-file code and documentation in one context, without guaranteeing project-wide correctness
    • xallinta shaashadda ka wanaagsan
    • Biilasha korontada oo ka jaban
  7. What comparison did Magic report for LTM-2-mini’s sequence-dimension algorithm?
    • A 1,000-fold improvement in total cost for every deployed model
    • A 1,000-fold increase in the accuracy of all code edits
    • About 1,000 times lower per-token algorithmic cost than Llama 3.1 405B attention at 100M context in the reported configuration
    • A fixed 1,000-token limit for every LTM model
  8. In a simple illustrative lookup with A → B, B → C, and C → D, what chain follows from A?
    • A → C → B → D
    • A → B → D → C
    • A → D → C → B
    • A → B → C → D