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Excellent, thank you so much for the links, it's super interesting
It should be pretty straightforward to create a scraper for one of those portals
If you feel like taking a crack at it, checkout the code of the Ask HN who's hiring scraper here: https://github.com/nicobrenner/commandjobs/blob/47b5c89402a3...
I added a comment under the Add Sources issue, to support Workday's career portals: https://github.com/nicobrenner/commandjobs/issues/23#issueco...
I'm not exactly sure what you mean by direct inference?
Do you mean that you pass the resume and job posting to the initial GPT prompt? and rely on the returned "fit_for_resume" property?
If so I didn't try that. And thinking about it, I like your style. (There's no reason why you couldn't do both anyway)
Here is the prompt/call I used for GPT'ing the HN posts -> https://github.com/jsonresume/jsonresume.org/blob/master/app...
As for the distance of the vector similarity search. I am just using Supabase's pg_vector plugin support, with 3704 dimensions using the default search (cosine).
Nice work! I did something similar with a personal project a few months ago using an open source llm. Also, not sure if you know, there is an api you can use. https://github.com/HackerNews/API
There is something similar https://github.com/alexpovel/ancv/
- you don't need logic for parsing multiple pages
Have a look at code I wrote on this: https://github.com/hughdbrown/who-is-hiring
Here is the code to get a month of Who Is Hiring posts?
I'm using https://github.com/ggerganov/llama.cpp and currently mistral 7b (on a m1 macbook pro). I'm sure with some prompt examples you can get pretty good results on a smaller model.
At the moment I don't have it open sourced due to it being part of a larger project that I'm working on that contains tailwindui licensed components.
A cool feature that I'm working on is creating a firefox plugin so you can save/index job postings from other sites and extract out meta information via an LLM. Very similar to this chrome plugin.
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