Guide-yakabatana mibvunzo · Pakati Nhanho
Snowflake Arctic Models Quiz
Edza ruzivo rwako rweSnowflake Arctic's bhizinesi yekutarisa, MoE dhizaini, yakashumwa mutengo wekudzidziswa, uye yekumisikidza yekutarisa.
Mubvunzo 1 ye 8
Imhandoi yekambani yakavaka mhando dzeArctic?
Tarisa mubvunzo wese8 mibvunzo
Mhinduro uye tsananguro zvinoonekwa paunenge uchitora bvunzo.
- Imhandoi yekambani yakavaka mhando dzeArctic?
- A Cloud data-warehouse kambani
- Studio yemutambo wevhidhiyo
- Mugadziri wemotokari
- A social media network
- What architecture figures did Snowflake report for Arctic?
- A single dense network with 17B total parameters
- 480B total parameters, with about 17B active per token
- 480B active parameters for every token
- A rule-based model with no neural parameters
- Nderipi basa rinotarisa rinosiyanisa Arctic kubva kune akajairwa vatengi chatbots?
- Kugadzira nhetembo uye nziyo dzenziyo
- Kutamba chess
- Enterprise mabasa seSQL chizvarwa uye coding
- Kugadzirisa mafoto
- Under what license did Snowflake release Arctic’s model weights?
- Rezinesi remuridzi rakavharwa
- Rezinesi rekunyorera-chete
- Hapana rezinesi zvachose
- Apache 2.0
- How did Snowflake characterize Arctic’s training compute budget?
- It reported roughly under $2 million for its training compute
- It reported a cost over one billion dollars
- It said no computers were used
- It did not disclose any estimate
- Ndedzipi mhando dzeArctic Embed dzinoshandiswa?
- Kugadzira mifananidzo
- Kutsvaga, kutora, uye kusimbisa kudzoreredza-yakawedzera chizvarwa
- Kumanikidza vhidhiyo
- Kudzora marobhoti
- Which routing strategy did Snowflake report Arctic uses to choose MoE experts?
- All-expert routing
- Round-robin scheduling across tokens
- Top-2 gating
- A fixed expert selected by token position
- Which two types of Arctic language-model checkpoints did Snowflake release?
- Image and audio only
- Encoder and speech-vocoder only
- Training and evaluation datasets only
- Base and instruct-tuned