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A/B Deployment for Generative AI

Learn how to effectively apply A/B testing to Generative AI deployment. This course will teach you how to design A/B testing setups, analyze performance metrics, and optimize GenAI models to enhance performance and results.

Yasir Khan - Pluralsight course - A/B Deployment for Generative AI
by Yasir Khan
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What you'll learn

This course is perfect for data scientists and AI professionals looking to enhance model deployment effectiveness. In this course, A/B Deployment for Generative AI, you'll learn how to apply A/B testing to optimize generative AI models.

First, you'll understand the principles of A/B testing. Then, you'll learn how to design an effective A/B deployment setup for generative AI. Finally, you'll analyze performance metrics to refine and optimize models. By the end of the course, you’ll be equipped to implement A/B testing in real-world AI applications, evaluate model performance using key metrics, and make data-driven adjustments to improve generative AI outcomes.

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About the author

Yasir Khan - Pluralsight course - A/B Deployment for Generative AI
Yasir Khan

Dr. Yasir Khan is a global tech consultant and 38Labs founder. He's passionate about digital transformation, data & AI, and regularly shares technology insights on Pluralsight.

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