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.
TOOLS
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AI Today Podcast: Content Summarization and Sentiment Analysis Episode
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In this @Cognilytica #AIToday #podcast episode 'Content Summarization and Analysis, Sentiment Analysis' from the AI Glossary Series, hosts @rschmelzer & @kath0134 define Content Summarization and #Analysis and #sentimentanalysis. Full episode: https://
cognilytica.com/2022/12/28/ai-
today-podcast-ai-glossary-series-content-summarization-and-analysis-sentiment-analysis/?utm_source=dlvr.it&utm_medium=twitter
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#AI #nlp #ML -
LangChain Agents Max Iterations Parameter Implementation
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To expand on the last point, previously agents were allowed to potentially loop forever, whether caused maliciously or not Now you can specify a max_iterations parameter, which stops it after that many iterations https://
langchain.readthedocs.io/en/latest/exam
ples/agents/max_iterations.html
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Displaying Intermediate Steps in Streamlit UI
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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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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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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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GPT-based Plagiarism Detection Tool on Huggingface
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GPT “plagiarism” detector https://
huggingface.co/openai-detecto
r/
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