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#15 The death of Prompt Engineering

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Manage episode 428686714 series 3585389
Dev and Doc에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Dev and Doc 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
What do Prompt engineers have in common with telephone operators in the 1870s? Spoiler - they're both dying professions 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/ 🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokr The podcast 🎙️ 🔊Spotify: https://podcasters.spotify.com/pod/show/devanddoc 📙Substack: https://aiforhealthcare.substack.com/ Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :) 🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ 🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d 00:00 Highlights 01:10 Intro - where did prompt engineering go wrong? 4:10 what is prompt engineering fundamentally? 10:54 LLMs training data reflects prompt engineering 12:32 prompts are model dependent 14:02 prompts that make you think 18:26 combining expert and generalist medical models for doctors 19:49 Diagnostic reasoning prompts, is it interpretable? 26:55 can we find prompts more elegantly/ systematically ? 28:42 Will prompts become obsolete? Models that self discover prompts 31:09 Telephone operators and Prompt engineers - death of a profession Refs Prompt "hacks" (oh man) - https://learnprompting.org/docs/intermediate/chain_of_thought Diagnostic prompt interpretability paper - https://www.nature.com/articles/s41746-024-01010-1 self - discover https://arxiv.org/abs/2402.03620 telephone operators - https://www.history.com/news/rise-fall-telephone-switchboard-operators
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30 에피소드

Artwork
icon공유
 
Manage episode 428686714 series 3585389
Dev and Doc에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Dev and Doc 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
What do Prompt engineers have in common with telephone operators in the 1870s? Spoiler - they're both dying professions 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/ 🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokr The podcast 🎙️ 🔊Spotify: https://podcasters.spotify.com/pod/show/devanddoc 📙Substack: https://aiforhealthcare.substack.com/ Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with us. Don't forget to subscribe whilst you're here :) 🎞️ Editor- Dragan Kraljević https://www.instagram.com/dragan_kraljevic/ 🎨Brand design and art direction - Ana Grigorovici https://www.behance.net/anagrigorovici027d 00:00 Highlights 01:10 Intro - where did prompt engineering go wrong? 4:10 what is prompt engineering fundamentally? 10:54 LLMs training data reflects prompt engineering 12:32 prompts are model dependent 14:02 prompts that make you think 18:26 combining expert and generalist medical models for doctors 19:49 Diagnostic reasoning prompts, is it interpretable? 26:55 can we find prompts more elegantly/ systematically ? 28:42 Will prompts become obsolete? Models that self discover prompts 31:09 Telephone operators and Prompt engineers - death of a profession Refs Prompt "hacks" (oh man) - https://learnprompting.org/docs/intermediate/chain_of_thought Diagnostic prompt interpretability paper - https://www.nature.com/articles/s41746-024-01010-1 self - discover https://arxiv.org/abs/2402.03620 telephone operators - https://www.history.com/news/rise-fall-telephone-switchboard-operators
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