引导式测验 · 中等 等级
雪花北极模型测验
测试您对 Snowflake Arctic 的企业重点、MoE 设计、报告的培训成本和嵌入检查点的了解。
问题 1 的 8
什么样的公司建造了北极模型?
预览每个问题8 问题
当您参加测验时,就会出现答案和解释。
- 什么样的公司建造了北极模型?
- 一家云数据仓库公司
- 视频游戏工作室
- 某汽车制造商
- 社交媒体网络
- 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
- Arctic 与一般消费者聊天机器人的区别在于哪些任务重点?
- 生成诗歌和歌词
- 下棋
- SQL 生成和编码等企业任务
- 编辑照片
- Under what license did Snowflake release Arctic’s model weights?
- 封闭式专有许可证
- 仅限订阅的许可证
- 根本没有执照
- 阿帕奇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
- Arctic Embed 模型的用途是什么?
- 生成图像
- 搜索、检索并为检索增强生成提供动力
- 压缩视频
- 控制机器人
- 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