6 Official Strategies for Prompt Engineering by #OpenAI

#promptengineering #ai #openaiOpenAI just released their guide for prompt engineering, and reading it reminded me of how I’ve been struggling through figuring out how to best use LLM tools. I think there are many tips that I’ve heard about, but here are some (relatively) unfiltered thoughts about how I understand what the document is suggesting and my own thoughts on prompt engineering.

OpenAI’s prompt engineering guide: https://platform.openai.com/docs/guides/prompt-engineeringOpenAI Evals: https://github.com/openai/evals 

[00:00-00:42] intro[00:46-01:44] strategy 1: write clear instructions[06:51-07:19] strategy 2: use reference text[09:36-10:03] strategy 3: split complex tasks into simpler subtasks[15:56-16:38] strategy 4: give the model time to “think”[21:01-21:43] strategy 5: use external tools[25:08-26:42] strategy 6: test changes systematically[27:59-31:30] limitations

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WHO AM I: I’m Ian Wong, an ICU doctor and data scientist at Duke University. I love to think about life, medicine, tech, and building things. And somehow achieving everything.

Please leave a comment!Twitter – https://twitter.com/AIanWongMDPhDLinkedIn – https://www.linkedin.com/in/aianwong/

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#openai #promptengineering #prompt #gpt4 #ai #prompt #artificialintelligence #openaichat

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