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Pluralsight

Gemini: Prompt Engineering Best Practices

via Pluralsight

Overview

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.

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.

Syllabus

  • Course Overview 1min
  • Crafting Clear and Instructional Prompts for Google Gemini 16mins
  • Controlling Outputs via Settings and Fine-tuning Prompts 16mins

Taught by

Xavier Morera

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