Conversation
Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request introduces documentation for the Dingo v2.1.0 release, focusing on the launch of its new hosted SaaS platform and significant enhancements to the open-source SDK. The new platform allows users to evaluate AI data quality directly in a browser, while the SDK gains advanced features like autonomous fact-checking agents, visual comparison for OCR, and comprehensive RAG evaluation metrics. Highlights
Changelog
Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for GitHub and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
There was a problem hiding this comment.
Code Review
This pull request adds several new markdown files containing promotional content for the v2.1.0 release of Dingo. The content is tailored for different platforms like Hacker News, Reddit, Twitter, and Xiaohongshu. My review focuses on ensuring the correctness and usability of the content. I've found a few instances where URLs are missing the https:// protocol, which could affect their clickability on some platforms. I've provided suggestions to fix these.
|
|
||
| 🔗 SaaS: https://dingo.openxlab.org.cn/ | ||
| 📦 SDK: pip install dingo-python | ||
| ⭐ GitHub: github.com/MigoXLab/dingo |
| 🔗 dingo.openxlab.org.cn | ||
| 📦 pip install dingo-python | ||
| ⭐ github.com/MigoXLab/dingo |
There was a problem hiding this comment.
For consistency and to ensure the links are always clickable, it's best to include the https:// protocol for the URLs.
| 🔗 dingo.openxlab.org.cn | |
| 📦 pip install dingo-python | |
| ⭐ github.com/MigoXLab/dingo | |
| 🔗 https://dingo.openxlab.org.cn/ | |
| 📦 pip install dingo-python | |
| ⭐ https://github.com/MigoXLab/dingo |
|
|
||
| Dingo 是一个开源的 AI 数据质量评估框架。v2.1.0 最大的更新:**Dingo SaaS 平台正式上线**,无需本地部署,浏览器里直接评估数据质量。 | ||
|
|
||
| 🔗 平台地址:dingo.openxlab.org.cn |
| 平台体验:dingo.openxlab.org.cn | ||
| GitHub:github.com/MigoXLab/dingo |
There was a problem hiding this comment.
|
|
||
| 之前用 Dingo 做数据质量评估需要本地安装 Python 包。现在不用了。 | ||
|
|
||
| Dingo SaaS 平台已上线:dingo.openxlab.org.cn |
| - RAG 全链路质量指标(忠实度、上下文精度、召回率) | ||
| - Excel 导出 + Gradio 交互式界面 | ||
|
|
||
| 公测免费,欢迎体验:dingo.openxlab.org.cn |
|
|
||
| **Dingo 2.1.0 | AI 数据质量评估平台正式上线** | ||
|
|
||
| SaaS 平台:dingo.openxlab.org.cn |
| - RAG 全链路质量指标 | ||
|
|
||
| SDK:`pip install dingo-python` | ||
| GitHub:MigoXLab/dingo ⭐ 650+ |
No description provided.