Generative AI and Model Selection
About this course
Dive into the world of generative AI and learn how to select the right model for your needs in this practical course. You'll gain a solid understanding of how generative AI models work and compare deployment options like web APIs, hosted solutions, and local installations. By the end of this course, you will be able to: • Describe the basic architecture of generative AI models • Compare different AI model deployment options • Evaluate AI models using benchmarks and custom assessments • Troubleshoot and improve model performance • Determine when to use in-context learning vs. retrieval augmented generation Through hands-on exercises, you'll learn to evaluate models using industry benchmarks and create custom assessments for your specific use cases. You'll also master techniques to troubleshoot and enhance model performance. What sets this course apart is its focus on real-world application - you'll leave equipped to make informed decisions about AI model selection and optimization for your projects. Whether you're new to AI or looking to deepen your knowledge, this course will empower you to leverage generative AI effectively.
75/100
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- 35/35
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- 16/20
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