this is great! how did you get the intermediate steps to be printed to the streamlit UI? someone in the discord was just asking about this – i think its a great UX https://
discord.com/channels/10380
97195422978059/1057934201049055232/1058021225399582720
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Displaying Intermediate Steps in Streamlit UI
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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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PaLM 540B Architecture Code Released Open Source
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Mola, pero… ¿quién tiene capacidad de entrenar un PaLM de 540 billions (x3 el tamaño de GPT-3)? Aquí están compartiendo el código de la arquitectura y no un modelo pre-entrenado. Con lo que es un entrénalo-tú-mismo de ChatGPT.
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Can’t code without ChatGPT, ready to pay $100/month
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It's official, I can no longer code without ChatGPT open on my computer. As soon as I start work, it's one of the first windows I open. I would be ready to pay $100/month for the tool after the beta. And you?
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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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Integrating LLMs into Applications and the Potential of Scale Spellbook
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For all the attention ChatGPT and chat interfaces get, we haven't digested what's possible with this year's LLMs. We haven't finished integrating LLMs into our apps. Getting there is a big part of what I want to achieve through Scale Spellbook. https://
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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.