Model Whale vs Codex：怎么选？

Model Whale是和鲸社区推出的一款在线数据科学工具，为AI编程提供了免费GPU支持。它的核心功能包括内置Jupyter Notebook环境，支持Python和R语言，让数据分析和模型训练更加便捷；同时提供丰富的公开数据集和预训练模型，用户可直接调用，降低开发门槛；此外，平台还支持一键部署模型为API，方便快速验证和分享成果。这款工具主要面向数据科学家、机器学习工程师和AI初学者，尤其适合那些需要免费计算资源或希望快速上手实践的用户。常见使用场景包括在课程作业中训练深度学习模型、参与数据竞赛时快速迭代方案，或是初创团队低成本验证AI产品原型。

关于 Codex

“The recent Codex releases have been a step change. Codex PR reviews catch bugs our team would have missed, and we ship with more confidence because of it. Now we’re pulling the CLI and desktop app into more of our workflows—each release raises the bar.”

With Skills, Codex goes beyond writing code to directly contribute to the work that turns pull requests into products, like code understanding, prototyping, and documentation, aligned with your team’s standards.

“I needed to update another team’s codebase for a release. Codex handled the refactor and test generation, delivering fully tested code I handed back fast—keeping the feature on schedule without added risk.”