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Google Gemini Model Selection

Google's Gemini, a groundbreaking family of large language models, offers powerful potential for tackling diverse tasks with AI. This course will teach you how to navigate the Gemini landscape and select the optimal model and tradeoffs for your needs.

Soham Kamani - Pluralsight course - Google Gemini Model Selection
by Soham Kamani

What you'll learn

Are you struggling to select the right Google Gemini model for your specific tasks? In this course, Google Gemini Model Selection, you’ll learn how to choose the appropriate model for your needs. First, you’ll explore the unique strengths and limitations of Gemini and large language models in general. Next, you’ll discover how to compare the performance metrics and capabilities of each model variant. Finally, you’ll learn how to select the best model variant for specific tasks based on task complexity, resource availability, and performance expectations. When you’re finished with this course, you’ll have the skills and knowledge needed to identify Gemini’s strengths and limitations and select the appropriate model for your specific needs.

Table of contents

About the author

Soham Kamani - Pluralsight course - Google Gemini Model Selection
Soham Kamani

Soham is a full stack developer with experience in building large scale web applications and services for clients across the globe.

More Courses by Soham