But we don't expect imagination from AI. The creative process remains in human hands: writing a prompt, selecting what suits us, and iterating several times — that's imagination, isn't it? So what's problematic about that?
PROMPT ENGINEERING
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GitHub Copilot as an On-Ramp for Learning Prompt Engineering
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If you already write code, I increasingly feel like GitHub Copilot is the best on-ramp to learn prompt engineering, because it's the fastest UI and it's not metered by usage. When you write comments for the benefit of Copilot, you learn to prompt.
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GPT-3 Inference Non-Determinism at Temperature Zero Explained
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An edge-case in GPT-3 with big implications: Inference is non-deterministic (even at temperature=0) when top-2 token probabilities are <1% different. So temperature=0 output is *very close* to deterministic, but actually isn't. Worth remembering.
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The unique expertise of a Staff Prompt Engineer in LLMs
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My goal is to do my job so well that I'm not just the first Staff Prompt Engineer, but the last. Most people don't have the time to learn what LLMs have taught me.
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Get a complex SQL query from a simple natural request
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— Defend Intelligence (Anis Ayari) (@DFintelligence) 29 décembre 2022
And the best part is that I can just ask it naturally, queries like "yes give me the table of all PlayStations sold in the Netherlands to customers who have a loyalty card". And poof, 30 minutes of work saved with the right SQL query.
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Human becomes the machine’s debugger, paradox
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Well, of course he is sometimes mistaken (often he doesn't understand directly) but I clarify and give him an example and it's fine. So he must know what I do and debug his code. The human becomes a bit of the machine's debugger. That's paradoxical.
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Save 30 minutes of work by simply asking for an SQL query
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Et le must c’est que je peux juste lui demander naturellement après, les requêtes genre “oui donne moi la table de toutes les PlayStations vendu aux paybas à des clients qui ont la carte de fidélité”. Et pouf 30min de taff d’économiser avec la requête sql qui va bien. pic.twitter.com/IgOK0sYZkt
— Defend Intelligence (Anis Ayari) (@DFintelligence) 29 décembre 2022And the best part is that I can just naturally ask it afterwards, queries like 'yes give me the table of all PlayStations sold to the Netherlands to customers who have a loyalty card'. And poof, 30 minutes of work saved with the right SQL query.
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Magic SQL: queries generated from database schema
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For SQL it's magic. I give it the schema of my database (with descriptions). And it gives me everything I ask for. It remade my morning. No more deadly copy-pasting or checking column descriptions every two seconds.
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Automating Prompts for User-Friendly AI Applications
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Features like this should be ubiquitous. Low-risk applications where you need to present some label to the user — naming a file, a conversation, a revision of a file. All these things can be described succinctly and automated in a prompt. Our apps should speak our language.
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Copilot’s Grounding in Codebase via Prompt Engineering Explained
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Copilot also has lots of grounding in the codebase through clever prompt engineering so that might be what you’re noticing.