shekkizh

5 ms·

1.
Show HN: Promptact – Learn system prompting by reverse-engineering conversations(promptact.vercel.app)
1 points by shekkizh 2y ago|0 comments
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by shekkizh 2y ago
haha. I get that there are no rigorous standards in software engineering, but this has not stopped us from using software. I wonder if implementing a "chain of responsibility" -- kinda falls into my third scenario -- will improve
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by shekkizh 2y ago
Agreed. What would make you less skeptical? We typically do not look into the code within the software that we install in our systems today - so there is some level of trust already.
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by shekkizh 2y ago
haha. Talk about job security :)
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by shekkizh 2y ago
This resonates with me too. However, as LLMs increasingly shift towards more "agentic" capabilities—where they're not just generating code but also executing it and performing actions beyond just text generation—I'm thin
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Ask HN: What is your comfort level with code generated by LLM agents?
2 points by shekkizh 2y ago|10 comments
7.
by shekkizh 10y ago
I believe "extract notions and summarizing" is what will be more useful. Also I believe achieving this would give us much better search inside chats. This should be totally possible with the current state of NLP we have. Just laz
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by shekkizh 10y ago
A bot that gives me gist of unread messages so that I don't have to browse through all the messages and read selectively the messages I want.
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by shekkizh 10y ago
Too similar :/
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Google launches new machine learning platform(techcrunch.com)
3 points by shekkizh 11y ago|0 comments
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by shekkizh 11y ago
My thoughts as well. With the recent advances doing image similarity and content based search should be fairly simple and probably more effective with pre-trained convnets.