后续步骤
恭喜，您已完成本模块！
我们建议您根据自己的进度和兴趣探索各种 MLCC 模块。如果您想按建议的顺序学习，我们建议您接下来学习以下模块：大型语言模型。
嵌入：测试知识掌握情况
如未另行说明，那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可，并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情，请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC)：2025-07-16。
[null,null,["最后更新时间 (UTC)：2025-07-16。"],[[["\u003cp\u003eThis quiz tests your understanding of embeddings concepts covered in the module.\u003c/p\u003e\n"],["\u003cp\u003eSuccessfully completing the quiz earns you an Embeddings badge.\u003c/p\u003e\n"],["\u003cp\u003eLearners are encouraged to explore other Machine Learning Crash Course (MLCC) modules.\u003c/p\u003e\n"],["\u003cp\u003eLarge language models are recommended as the next module to explore after completing this one.\u003c/p\u003e\n"]]],[],null,["# Embeddings: Test your knowledge\n\n\u003cbr /\u003e\n\n|\n| Take this quiz to test your knowledge of embeddings concepts and earn the Embeddings badge! \n| [Open quiz](/machine-learning/crash-course/embeddings/quiz)\n\nWhat's next\n-----------\n\nCongratulations on finishing this module!\n\nWe encourage you to explore the various [MLCC modules](/machine-learning/crash-course)\nat your own pace and interest. If you'd like to follow a recommended order,\nwe suggest that you move to the following module next:\n**[Large language models](/machine-learning/crash-course/llm)**.\n| Interested in experimenting further with text embeddings? Check out the Gemini API's [Embeddings model](https://ai.google.dev/gemini-api/docs/embeddings).\n\n*** ** * ** ***\n\n[Help Center](https://support.google.com/machinelearningeducation)"]]