goncharom

13 ms·

1.
by goncharom 9mo ago
A multi-purpose scrapper to turn any webpage into structured data: https://news.ycombinator.com/item?id=45870231 It uses LLMs to generate python code to scrap a webpage to fit any Pydantic model provided: from hikugen i
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by goncharom 10mo ago
Relevant read (not my own): https://simone.org/advertising/
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by goncharom 10mo ago
it has a proper paper attached right at the beginning of the article
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by goncharom 10mo ago
As I said then, and probably echoing what other commenters are saying - what do you mean by understanding when you say computers understand nothing? do humans understand anything? if so, how?
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by goncharom 10mo ago
Every time I see comments like these I think about this research from anthropic: https://www.anthropic.com/research/mapping-mind-language-mod... LLMs activate similar neurons for similar concepts not only across langua
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by goncharom 10mo ago
Yes this is literally just appending site: reddit.com to the query and redirecting to google. This page is a single HTML: https://github.com/goncharom/greggit This was meant as a silly project! I caught myself adding s
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Greggit – Google but it's only the Reddit results(greggit.com)
2 points by goncharom 10mo ago|6 comments
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by goncharom 10mo ago
The regeneration loop was probably the most interesting part to work on: you need very strict constraints on what “good” content looks like and what the specific issue is when codegen fails. I found Pydantic annotations to be specifically u
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Show HN: Turn any webpage into structured data via LLM codegen(github.com)
2 points by goncharom 10mo ago|2 comments
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by goncharom 10mo ago
I've been working web scraping using LLMs, I just shared one of the libraries I created to get structured data from arbitrary pages: https://news.ycombinator.com/item?id=45870231 Instead of sending the page's HTML
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Show HN: Hikugen – minimalistic LLM-generated web scrapers for structured data(github.com)
2 points by goncharom 10mo ago|0 comments