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Prompt Engineering

Edited by Raemon, et al. last updated 27th Aug 2022

Prompt Engineering is the practice of designing inputs to go into an ML system (often a language model), to get it to produce a particular output. 

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Posts tagged Prompt Engineering
631The Waluigi Effect (mega-post)
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Cleo Nardo
2y
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188
107Want to predict/explain/control the output of GPT-4? Then learn about the world, not about transformers.
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Cleo Nardo
2y
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26
353What DALL-E 2 can and cannot do
Swimmer963 (Miranda Dixon-Luinenburg)
3y
303
145Remarks 1–18 on GPT (compressed)
Cleo Nardo
2y
35
126The case for becoming a black-box investigator of language models
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Buck
3y
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20
103Testing PaLM prompts on GPT3
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Yitz
3y
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14
71MetaAI: less is less for alignment.
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Cleo Nardo
2y
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17
52Using GPT-3 to augment human intelligence
Henrik Karlsson
3y
8
47Chess as a case study in hidden capabilities in ChatGPT
AdamYedidia
2y
32
40Extrapolating from Five Words
Gordon Seidoh Worley
2y
11
10Use AI to Dimensionalize
Jordan Rubin
1mo
1
10Trying out Prompt Engineering on TruthfulQA
Megan Kinniment
3y
0
146Stop posting prompt injections on Twitter and calling it "misalignment"
lc
2y
9
87You can use GPT-4 to create prompt injections against GPT-4
WitchBOT
2y
8
40$300 for the best sci-fi prompt
RomanS
2y
30
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