Back to Generative AI: Prompt Engineering Basics
Learner Reviews & Feedback for Generative AI: Prompt Engineering Basics by IBM
1,015 ratings
About the Course
This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT.
Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts.
You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses.
You will be introduced to commonly used prompt engineering tools like IBM watsonx Prompt Lab, Spellbook, and Dust.
The hands-on labs included in the course offer an opportunity to optimize results by creating effective prompts in the IBM Generative AI Classroom. You will also hear from practitioners about the tools and approaches used in prompt engineering and the art of writing effective prompts.
Top reviews
SR
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Excellent course. I really enjoyed the practical exercises - hands on that allowed me to work with the tool and explore its functionality in a guided way.
EC
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I found this course very interesting and dynamic. Through Labs and quizzes I learned in detail each of the Prompting Engineering techniques.
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