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学生对 Vanderbilt University 提供的 Advanced Prompt Engineering for Everyone 的评价和反馈

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课程概述

Unlock the full potential of generative AI and become a master of prompt engineering. Dive deeper into how you can use In-context Learning to build better and more reliable prompts. See how Retrieval Augmented Generation (RAG) works and what can go wrong that you can counteract with fact-checkable prompt formats. Overcome your struggles in getting the right output from generative AI models with template-based output formats to achieve precision in your interactions with AI models. Tap into powerful AI capabilities for tasks ranging from social media comment analysis to survey results interpretation and beyond. This course will empower you with the skills needed to build exceptional prompts, using simple techniques, such as preference-driven refinement, and become and expert in leveraging generative AI for productivity and creativity. What You Will Learn: In-Context Learning: Understand how to provide context within prompts to guide AI models towards more accurate and relevant outputs. Learn techniques to embed contextual information that enhances the model’s understanding and performance. Retrieval Augmented Generation (RAG): Explore how to integrate retrieval systems with generative models to provide more precise and informed responses. This module covers the mechanisms to combine the strengths of both retrieval and generation. Template Pattern and Examples: Master the art of crafting template-based prompts to achieve consistent and desired outputs. Learn how to tell generative AI to fit its output into your format and overcome struggles with getting exactly what you want. Tapping Into AI Capabilities for Everyday Use: Delve into practical applications such as analyzing social media comments, interpreting survey results, and other everyday tasks where generative AI can make a significant impact. Gain hands-on experience with real-world examples. Building Great Prompts: Discover simple methods for constructing effective prompts. Learn how preference-driven refinement can elevate your prompt engineering skills, ensuring that outputs meet your exact needs and preferences....

热门审阅

RM

Aug 21, 2024

It helped me better understand in-context learning and working with unformatted text data. I was able to start using the techniques immediately. Jules White is a very pragmatic instructor.

GT

Sep 5, 2024

As with all of your other classes this is outstanding. Thank you for producing professional prompt engineering classes.

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126 - Advanced Prompt Engineering for Everyone 的 150 个评论（共 178 个）

创建者 Deepak B

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Feb 3, 2026

helpful

创建者 Kage C

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Jun 12, 2025

awasmoe

创建者 Mohammad N

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Sep 14, 2025

Great

创建者 Nisar A B

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Feb 19, 2026

Good

创建者 Bilal A K

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Feb 16, 2026

none

创建者 Sajad A T

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Feb 16, 2026

good

创建者 Nusrit F

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Feb 15, 2026

Good

创建者 Parvaiz A

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Feb 13, 2026

Good

创建者 Sanjay

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Feb 8, 2026

Good

创建者 Irfan I

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Feb 7, 2026

Good

创建者 Baljeet S

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Feb 3, 2026

good

创建者 Umesh K

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Feb 2, 2026

FINE

创建者 MUZAFFAR A B

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Feb 1, 2026

Good

创建者 19880898-1ef3-46f9-adeb-9d323531f398 a

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Jan 31, 2026

good

创建者 Sajad R A

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Jan 31, 2026

good

创建者 Khalid M C

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Jan 31, 2026

good

创建者 Ajaz A S

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Jan 30, 2026

Good

创建者 Zahid A

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Jan 30, 2026

Nice

创建者 Pawan J

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Nov 7, 2025

good

创建者 Prasad R

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Nov 6, 2025

good

创建者 Leo K

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Jul 20, 2025

nice

创建者 Gracie K

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Jun 3, 2025

wow!

创建者 Rina M

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Apr 20, 2025

good

创建者 Melisa Ç

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Sep 15, 2024

cool

创建者 Mukul B

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Nov 12, 2025

NA