Back to Generative AI: Prompt Engineering Basics

Learner Reviews & Feedback for Generative AI: Prompt Engineering Basics by IBM

4.8

stars

2,095 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

Apr 21, 2024

Excellent Course. Thoroughly explains all of the basics and terms of prompt engineering. Breaks everything down so that learners can comprehend the material. Would reccomend to anyone!

Feb 21, 2024

EXcellent! So well organized and clear, the possibility to practice really makes you feel you are learning and automatically triggers new ideas on which to apply the learned lessons.

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Jul 23, 2024

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