糖心vlog官网观看

Chevron Left
Back to Generative AI: Prompt Engineering Basics

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

4.8
stars
4,137 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

NM

Nov 15, 2024

This course is well suited for anyone curious about AI, informing others, or teaching in the classroom. The examples are assisted by IBM Watsonx.ai, an amazing interactive tool. Get started now!!

DV

Apr 22, 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!

Filter by:

1126 - 1133 of 1,133 Reviews for Generative AI: Prompt Engineering Basics

By Nicole N

鈥�

Sep 12, 2024

Clearly written and presented by AI. Useless course.

By Daniel A

鈥�

Apr 26, 2025

buno pero no se como completa

By MURAT T

鈥�

May 29, 2024

脟ok k枚t眉 i莽erik g眉ncel de臒il

By Juan P C D

鈥�

Nov 7, 2024

no es una buena metodolog铆a

By DIXON D V C

鈥�

Mar 31, 2025

NO ME GUSTA ESTO

By Jos茅 c

鈥�

Nov 18, 2024

esta horribleee

By Mostafa B (

鈥�

Mar 14, 2025

valueless

By DAYANA A U C

鈥�

Apr 16, 2025

Es lento