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Generative AI Hallucinations and Retrieval Reliability

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.

Beginner
35m

Created by Praveenkumar Bouna

Last Updated Feb 18, 2026

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  • Course

Generative AI Hallucinations and Retrieval Reliability

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.

Beginner
35m

Created by Praveenkumar Bouna

Last Updated Feb 18, 2026

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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.

Generative AI Hallucinations and Retrieval Reliability
Beginner
35m
Table of contents

About the author
Praveenkumar Bouna - Pluralsight course - Generative AI Hallucinations and Retrieval Reliability
Praveenkumar Bouna
9 courses 0.0 author rating 0 ratings

An experienced cloud computing professional and instructor of online training courses.

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