By the end of this course, learners will be able to analyze how hallucinations arise in Generative AI systems, evaluate the risks they pose across different use cases, and apply practical strategies to detect and mitigate inaccurate or fabricated outputs. Learners will also assess advanced techniques and real-world case studies to improve the reliability and trustworthiness of AI-generated content.

您将学到什么
Analyze how hallucinations arise in Generative AI systems and why they occur.
Evaluate risks of AI hallucinations across real-world use cases and industries.
Apply practical detection and mitigation strategies to improve AI output reliability.
您将获得的技能
要了解的详细信息

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6 项作业
January 2026
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该课程共有2个模块
This module introduces the core concepts of Generative AI and explains how hallucinations arise, helping learners understand their nature, causes, and impact on AI-generated outputs.
涵盖的内容
5个视频3个作业
This module focuses on practical techniques for detecting, evaluating, and mitigating hallucinations in Generative AI, emphasizing advanced methods and real-world application scenarios.
涵盖的内容
5个视频3个作业
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