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Gemini: Prompt Engineering Best Practices

Following best practices when working in prompt engineering allows for you to create effective prompts that maximize and improve results obtained from Gemini. This course will teach you the best practices for creating epic prompts with Google Gemini.

Xavier Morera - Pluralsight course - Gemini: Prompt Engineering Best Practices
by Xavier Morera

What you'll learn

An LLM like Google Gemini is able to understand and process vast amounts of data, solve problems, and create new and creative content. In this course, Gemini: Prompt Engineering Best Practices, you’ll learn which are the recommended guidelines and tips for creating better prompts, known as best practices.

First, you’ll explore how to use reference text, split tasks into smaller tasks, and how to give the model time to think. Next, you’ll discover how to use temperature and token limit settings. Finally, you’ll learn how to fine-tune prompts for specific applications. When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to create epic prompts following Google Gemini’s best practices.

Table of contents

About the author

Xavier Morera - Pluralsight course - Gemini: Prompt Engineering Best Practices
Xavier Morera

Xavier is very passionate about teaching, helping others understand Generative AI, ML, Search, and Big Data. He is also an entrepreneur, project manager, technical author, trainer, and holds a few certifications with Cloudera, Microsoft, and the Scrum Alliance, along with being a Microsoft MVP.

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