Generative AI Hallucinations and Retrieval Reliability
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 35m | 191 MB
Instructor: Praveenkumar Bouna
Diagnose and fix hallucinations in LLM applications. This course teaches you to identify root causes, implement mitigation strategies, and improve retrieval reliability for production deployments.
What you'll learn
Hallucinations are one of the most common failure modes in generative AI systems, causing incorrect information, fabricated details, and unreliable outputs in LLM applications. In this course, Generative AI Hallucinations and Retrieval Reliability, you'll learn to build robust systems that deliver accurate, reliable responses.
First, you'll explore how to diagnose hallucinations by identifying root causes across prompting and grounding components in LLM applications, then learn mitigation strategies. Next, you'll discover how to improve prompting practices by identifying anti-patterns and replacing them with structured, reproducible approaches. Finally, you'll learn how to improve retrieval reliability in LLM applications.
When you're finished with this course, you'll have the skills and knowledge needed to build LLM applications that consistently produce accurate, reliable outputs.
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