I guess I'm not good at koan prompting…
PROMPT ENGINEERING
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Prompt: Use ChatGPT for Zero-Based Thinking
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6/ Zero-based thnking Prompt: "ChatGPT, guide me through a zero-based thinking process for [Decision/Strategy] to ensure it's still the right path."
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Use ChatGPT to Organize Tasks with the Eisenhower Matrix
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5/ The Eisenhower Matrix Prompt: "ChatGPT, help me organize my tasks using the Eisenhower Matrix for [Today/This Week] to maximize output."
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Using ChatGPT to Apply the OODA Loop for Faster Decisions
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4/ The OODA Loop Prompt: "ChatGPT, how can I apply the OODA Loop to make faster, more effective decisions in [Specific Situation/Market]?"
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Prompt to Outline a Competitive Moat Using ChatGPT
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2/ Moat analysis Prompt: "ChatGPT, help me outline a moat for my [Product/Service] that will fend off competitors by focusing on [Unique Value Proposition]."
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LLMs struggle counting tokens without Chain-of-Thought or tools
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What I'm disputing is the specific, but I think common, misconception that of course any LLM could count *tokens* easily; it's just that tokenization makes letters unnecessarily hard. Without CoT or tools, LLMs are just bad at counting.
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ChatGPT passes apples-and-oranges reasoning challenge
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ChatGPT o1 passes apples and oranges reasoning challenge. Impressive. Prompt: 8 apples 5 oranges 25 bananas 8 grapes 15 strawberries 23 watermelons 1 apple 18 raspberries 5 lemons 25 kiwis 15 peaches 21 blueberries
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Ultimate Guide to Prompting Techniques and arXiv Navigation
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🆕 The Ultimate Guide to Promptinghttps://t.co/j0wMstDJ2Q
— Latent.Space (@latentspacepod) 20 septembre 2024
with @sanderschulhoff of @LearnPrompting and The Prompt Report!
Timestamps
[00:00:00] Introductions
[00:07:32] Navigating arXiv for paper evaluation
[00:12:23] Taxonomy of prompting techniques
[00:15:46] Zero-shot… pic.twitter.com/x8ZP1UomG7The Ultimate Guide to Prompting https://
latent.space/p/learn-prompt
ing
… with @sanderschulhoff of @LearnPrompting and The Prompt Report! Timestamps
[00:00:00] Introductions
[00:07:32] Navigating arXiv for paper evaluation
[00:12:23] Taxonomy of prompting techniques
[00:15:46] Zero-shot -
Anthropic’s prompt caching enables more efficient LLM algorithms
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Anthropic's prompt caching really should be better known. A lot of features that distinguish LLM vendors are incremental nice-to-haves, but prompt caching enables algorithms otherwise too slow and costly to consider:
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Stanford paper reveals Chain of Thought unlocks sequential tasks.
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Stanford paper might be the key to OpenAI o1’s performance: What’s so effective about Chain of Thought? ⇒ it unlocks radically different sequential tasks! Reminder: A Chain of Thought (CoT) means that you instruct the model to “think step by step”. Often it’s literally