引导式测验 · 简单 等级
Tabnine 代码完成测验
审查 Tabnine 代码完成、部署和隐私选择、模型训练披露、归属和人工审查。
问题 1 的 8
与许多其他人工智能编码助手相比,Tabnine 的主要区别是什么?
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。
- 与许多其他人工智能编码助手相比,Tabnine 的主要区别是什么?
- 隐私和控制,包括本地部署和气隙部署
- 仅适用于手机
- 它是唯一编写汇编语言的工具
- 它不需要互联网并且在纸上运行
- 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
- 为了降低法律风险,Tabnine 强调用什么样的代码来训练模型?
- 从任何地方抓取的任何代码
- 仅闭源专有代码
- 许可的开源代码
- 仅 2024 年之后编写的代码
- 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
- 除了自动完成之外,现代 Tabnine 还提供哪些附加功能?
- 聊天、测试生成和代码解释
- 视频编辑和音乐制作
- 仅对电子邮件进行拼写检查
- 管理薪资
- 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
- 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
- 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