"本课程能让机器学习从业者掌握评估生成式和预测式 AI 模型的基本工具、方法和最佳实践。要确保机器学习系统在实际运用中提供可靠、准确、高效的结果,做好模型评估至关重要。
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What you'll learn
了解预测式 AI 和生成式 AI 中模型评估的细微差别,认识到其在 MLOps 生命周期中发挥的重要作用。
针对不同的生成式 AI 任务确定和应用适当的评估指标。
利用 Vertex AI 的各种评估服务(包括基于计算和基于模型的方法)高效评估生成式 AI。
遵循大语言模型评估的最佳实践,以确保在生产环境中稳健可靠地部署模型。
Details to know
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January 2025
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There are 4 modules in this course
本单元介绍了课程目标并概述了课程结构。
What's included
1 video
本单元介绍了模型评估面临的挑战,以及 Vertex AI 提供的解决方案。
What's included
3 videos1 reading1 assignment
本单元介绍了评估生成式 AI 任务面临的挑战以及克服这些挑战的最佳实践。本单元还涵盖了 Vertex AI 提供的各类模型评估服务,并介绍了 Vertex AI 自动指标、自动并排评估和安全偏见评估服务。
What's included
7 videos1 reading1 assignment
本单元回顾了一些重要的概念、工具、方法和产品,对整个课程进行总结。
What's included
1 video
Instructor
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.