Maswali ya Mistral Kubwa na Codestral

Majibu na maelezo huonekana unapojibu maswali.

1. Codestral imeundwa kwa ajili gani hasa?
   • Uzalishaji wa kanuni na kukamilika
   • Uzalishaji wa picha
   • Utambuzi wa hotuba
   • Uhariri wa video
2. Mistral AI makao yake makuu yako wapi?
   • San Francisco, Marekani
   • Paris, Ufaransa
   • London, Uingereza
   • Berlin, Ujerumani
3. Mixtral hutumia usanifu gani ili kukaa vizuri?
   • Mtandao mnene mmoja
   • Mantiki safi yenye msingi wa kanuni
   • Mchanganyiko mdogo wa wataalam
   • Wavu ya neural inayojirudia pekee
4. Je, 'kujaza-katikati' huruhusu Codestral kufanya nini?
   • Tafsiri sauti inayozungumzwa
   • Toa michoro ya 3D
   • Finya faili
   • Ingiza msimbo kwa kutumia maandishi kabla na baada ya kishale
5. How should developers interpret the licenses of Mistral downloadable weights and hosted services?
   • Check the exact model and release terms; weight licenses and hosted service terms are distinct
   • Assume every model and hosted endpoint shares Apache 2.0 terms
   • Assume downloading weights places them in the public domain
   • Assume a model weight license automatically permits reselling Mistral’s hosted API
6. Ni uwezo gani hufanya Mistral Kubwa kuwa muhimu kwa mawakala wa ujenzi?
   • Viendeshi vya kichapishi vilivyojengwa ndani
   • Kazi/kupiga simu kwa zana
   • Uchimbaji asili wa blockchain
   • Usindikaji wa mawimbi ya Analogi
7. How many parameters are active per token in Mistral Large 3’s sparse mixture-of-experts model?
   • 3 billion active parameters
   • 22 billion active parameters
   • 41 billion active parameters
   • 675 billion active parameters
8. How many programming languages did Mistral say its original May 2024 Codestral model was trained on?
   • Exactly 8 languages
   • Only Python and JavaScript
   • More than 800 languages
   • More than 80 programming languages