Hallucinations in Gen-AI

The Mind Games of AI: Hallucinations Exposed


What you'll learn
Hallucination in LLMs
Need for RAG
How to avoid Hallucination
Metrics to evaluate mode for Hallucination
Requirements
Python
ML
DL
Description
Generative AI has taken the world by storm, revolutionizing industries from content creation to customer service. However, to truly harness its potential, it's essential to understand its nuances and limitations. This course aims to equip you with the knowledge and skills to use generative AI effectively, avoiding common pitfalls like hallucinations.Course ObjectivesGain a solid understanding of generative AI and its applications.Learn practical techniques for optimizing the use of generative AI in various contexts.Master the art of prompt engineering to guide AI models towards desired outcomes.Explore diverse use cases of generative AI, from content generation to conversational agents.Understand the phenomenon of hallucinations in AI and its potential causes.Develop strategies to identify and mitigate hallucinations in generative AI models.Learn about evaluation metrics designed to assess the quality and reliability of AI-generated content.Discover techniques to enhance the performance and accuracy of LLMs.Why Choose This Course?Practical Focus: Learn actionable techniques to improve your generative AI workflows.Expert Guidance: Benefit from insights from industry experts on best practices and common pitfalls.Comprehensive Coverage: Explore a wide range of generative AI applications and challenges.Hands-On Learning: Engage in practical exercises and projects to solidify your understanding.Enroll today and unlock the full potential of generative AI!
Who this course is for
ML practitioners
Tech Leads
Executives
Directors
Data Scientists
AI practitioners

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