Prompt Engineering Tips: How to Prompt an LLM
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- Опубликовано: 28 май 2024
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Hey friends! I’m Tasia Custode and in this video, I’m sharing some handy prompt engineering tips. From general knowledge things you should know when prompting an LLM to the crucial 5-part prompt formula, I’m showing you how to prompt an LLM properly. Think of this like your Prompt Engineering 101 class!
Here are the 5 key parts of a prompt formula: [Give a role] [Define the goal] [Speficy the audience] [Set restrictions/style] [Format the result]
⏰ TIMECODES:
00:00 - Prompt engineering tips
00:48 - Be specific
01:20 - Paint a picture with words
02:49 - Ask follow-up questions
03:52 - Format the result
04:35 - 5-part prompt formula
07:52 - Examples using the prompt formula
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Hey friends! Have you tried this 5-part formula? Comment below!
Excellent video Tasia. A simple and effective way of explaining prompt engineering in LLM. It was very useful to me. Thanks.
You're very welcome! So glad it was helpful!
Fantastic! This video helps me understand how to write good prompts.
Glad it was helpful!
WOW Bravo! Hey Custode, that was really amazing and informative. I will definitely try it.
Glad it was helpful!
Well done
My AI queries have always been very generic and the response has been a mixed bag. Now I know why. Will now try this 5-part formula. You are the best when it comes to explaining complex topics in an easy and fun way. Awesome video. Thank you very much.
So glad to help you out! Hopefully this makes a difference for you!
Tasia, your quick engineering tips are invaluable! I like the straightforward explanation of the 5-part prompt formula and the examples of how it guides language model interactions. Great job!
Glad it was helpful for ya!
Thanks Tasia. I have not tried this 5-part formula.....yet. 😉
You're welcome, Ron! Have fun!
Wow Tasia this is unexpected content from you 😅
👍👍❤❤
Hope you enjoyed it!
LLMs are definitely not "built to build off your prompts." Each request is stateless. However, both ChatGPT and Gemini include previous parts of your questions (and summaries of the LLM's output) to give the illusion of an ongoing conversation.
Good point, John, thank you!
good
👍
Role? Audience? Most people just have a question.
LLM?
LLM = Large Language Model
Surprised this isn’t anything google based in this video lol
Well I am using Gemini...
@@TasiaCustode I guess I didn’t watch further enough lol