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.
Author Name: Xavier Morera
Author Description:
Xavier has a two passions. He loves the challenge of learning about complex topics and then sharing this newfound knowledge with others. The topics he is currently focused on are AI, ML, Generative AI, 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 having been awarted Microsoft MVP. He has spent a great deal of his career working on cutting-edge projects…. more

Table of Contents

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