后续步骤
恭喜您完成本单元！
我们鼓励您根据自己的兴趣和进度，探索各种 MLCC 模块。如果您想按照建议的顺序学习，建议您接下来学习以下模块：生产环境机器学习系统。
LLM：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)：2025-01-13。
[null,null,["最后更新时间 (UTC)：2025-01-13。"],[[["\u003cp\u003eTest your understanding of Large Language Models (LLMs) by taking a quiz and earn a badge upon completion.\u003c/p\u003e\n"],["\u003cp\u003eExplore other Machine Learning Crash Course (MLCC) modules, with a recommendation to proceed to the Production ML Systems module next.\u003c/p\u003e\n"]]],[],null,["\u003cbr /\u003e\n\n|\n| Take this quiz to test your knowledge of large language model concepts and earn the LLMs badge! \n| [Open quiz](/machine-learning/crash-course/llm/quiz)\n\nWhat's next\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**[Production ML systems](/machine-learning/crash-course/production-ml-systems)**.\n| Interested in a deeper dive into large language models and generative AI? Check out the new [**5-Day Gen AI Intensive Course**](https://www.kaggle.com/learn-guide/5-day-genai) from Kaggle.\n\n*** ** * ** ***\n\n[Help Center](https://support.google.com/machinelearningeducation)"]]