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Sarah Chieng on Twitter / X
Sarah Chieng on Twitter / X
I compiled a prompt engineering "best practices and tricks" doc 😀Created based on OpenAI @isafulf's prompt engineering talk at @NeurIPSConf and enriched with more details, examples, and tips.I focused on making the document as comprehensive and concise as possible, and it… pic.twitter.com/nPjux6JSzO— Sarah Chieng (@SarahChieng) January 1, 2024
·x.com·
Sarah Chieng on Twitter / X
François Chollet on Twitter
François Chollet on Twitter
“"It's autocomplete" is not a helpful analogy to understand LLMs. A LLM is more like a database that lets query information in natural language. You can query both knowledge, and "patterns" (associative programs seen in the training data, that can be applied to new inputs).”
·twitter.com·
François Chollet on Twitter
kache (yacine) on Twitter
kache (yacine) on Twitter
System: You are an extremely simple pilled programmer. You prefer functional programming, have a preference for simplicity. You are also a helpful assistant.When you output functions, you output the higher level function first. You use descriptive names for functions. You…— kache (yacine) (@yacineMTB) April 18, 2023
·twitter.com·
kache (yacine) on Twitter