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#promptengineering #ai #openai OpenAI 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/guid... OpenAI 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 --- 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 - / aianwongmdphd LinkedIn - / aianwong --- #openai #promptengineering #prompt #gpt4 #ai #prompt #artificialintelligence #openaichat