Writing Effective Prompts for Generative AI
As generative AI becomes more common, the ability to interact with large language models is shifting from niche knowledge to a necessary skill across many different industries and roles. In this course, you will learn the fundamentals of prompting large language models and exploring further techniques for improving the output from large language models.
- Duration: 3 hours
- Languages: English, German
- Level: Introductory
- Group size: Up to 50
What you'll learn
- Explain the capabilities of generative AI and list possible use cases.
- Identify the differences between keyword search and prompting, and list the benefits of prompting.
- Describe and apply prompt design best practices.
- Describe and apply approaches to improve the accuracy of generative AI responses.
Prerequisites
- Attendees should have access to gemini.google.com to complete the course activities. There are no other prerequisites for this course. It aims to provide both introductory and advanced insights into generative AI, making it suitable for individuals with varying levels of AI expertise.
Course outline
What is generative AI?
- Definition of generative AI;
- Capabilities of generative AI;
- Tasks generative AI can help with.
Searching vs prompting
- Differences between keyword search and prompting;
- Prompt examples;
- The benefits of prompting.
Prompt design best practices
- The importance of prompt design;
- General best practices;
- Use prompt building blocks;
- Provide examples;
- Iterate through prompts;
- Define follow-up prompts;
- Chain-of-thought;
- Prompt editor.
Improving output accuracy
- Hallucinations definition;
- Use prompt instructions;
- Grounding and citations;
- Double-check responses;
- Developer settings.
Quiz & Summary
- Quiz questions;
- Course summary;
- Q&A.
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Not sure which course fits?
Book a 30-minute call. We'll look at where your team is, what they need to be able to do, and put together either a specific course date or a tailored learning plan.