I asked ChatGPT “how many r’s in strawberry?” then ignored it and blindly replied “wrong” 35 times. Its successive answers were 2, 1, 3, 2, 2, 3, 2, 2, 3, 3, 2, 4, 2, 2, 2, 3, 1, 2, 3, 2, 2, 3, 4, 2, 1, 2, 3, 2, 2, 3, 2, 4, 2, 3, 2, and 1.
PROMPT ENGINEERING
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500 Best ChatGPT Prompts for Content, Money, and Business Growth
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There are 500 best prompts for ChatGPT that you can now explore here: 1. Create content
2. Make money
3. Grow and scale business https://
godofprompt.ai/blog/500-best-
prompts-for-chatgpt-2024
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Prompt AI for personalized recommendations
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Personalized Recommendations: Prompt: "You are an AI sales assistant. Generate personalized product recommendations based on browsing history." Inputs: • {browsing_history}
• {product_categories} -
Cursor Composer Generates Functional Backend with Single Prompt
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🚀 In Cursor, they generated a fully functional backend with just a single prompt! 🤯
— Dr. Debashis Dutta (@debashis_dutta) 31 août 2024
A working database in less than 2 minutes.
Composer is pure magic. ✨
Credit to @mckaywrigley for sharing this amazing achievement.#AI #generativeai #promptengineering
Check out the… pic.twitter.com/K4VOoAmaO0In Cursor, they generated a fully functional backend with just a single prompt! A working database in less than 2 minutes. Composer is pure magic. Credit to @mckaywrigley for sharing this amazing achievement. #AI #generativeai #promptengineering Check out the
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Models need self-awareness of skill boundaries
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You can’t escape models needing to at least know the boundaries of their skills; a REPL is only a solution as far as the model can tell when it needs it
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Why do LLMs predict two r’s in ‘strawberry’?
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Every explainer video/thread I’ve seen on why LLMs think there’s two r’s in “strawberry” is vague or wrong Yes it’s tokenization but that’s not an answer — the question is why 2 and not 4 and more generally how do you predict the error in count for an arbitrary word-letter pair
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Model trained to ‘see through’ typos may misrecognize words
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It does it even if you start with “monologue” etc. where there’s no real word with a q instead. I think that’s a plausible theory why it happens though — it’s trained to “see through” some apparent typos, like “How how many q’s in plague?”, and the recognition isn’t perfect
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ChatGPT tokenization bug misparses ‘-gue’ words
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Found an unusually generalized tokenization bug — ChatGPT thinks most words ending in -gue contain the letter q:
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Start your online business with ChatGPT business prompts
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Want to start your online business? Start off your journey with these ChatGPT business prompts: https://
godofprompt.ai/blog/chatgpt-p
rompts-for-small-businesses
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Meeting Summaries: extract key points and action items
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4/ Meeting Summaries.
— God of Prompt (@godofprompt) 30 août 2024
The Prompt:
"Summarize the key points and action items from the meeting on [Input: Meeting Date and Topic]." pic.twitter.com/z7C7B7tVBC4/ Meeting Summaries. The Prompt: "Summarize the key points and action items from the meeting on [Input: Meeting Date and Topic]."