4 ms·

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 returne

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? (I'm curious if you tried using OpenAI function outputs too) 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) Another question; Did you try asking for a "fit_rating"? Here is the prompt/call I used for GPT'ing the HN posts -> https://github.com/jsonresume/jsonresume.org/blob/master/apps/registry/scripts/jobs/gpted.js 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).

nico 3y ago
Sorry, yes, that’s exactly what I meant by “direct inference”; putting the resume and all necessary in the prompt and “trust” the fit evaluation done by the LLM Thank you so much for the insightful comments and pointers If you were expanding the functionality/features of LLM-assisted job searching, what do you think are the most useful challenges to tackle? I have some wild ideas about distributed job searching systems running on people’s command lines hahaha
- thomasfromcdnjs 3y ago
  I think there is lots of crazy ideas that need to be built, the next job I find I will probably just rely on tools like these for the fun of it. I've got a few that I will chime in later with. A simple one for now, is put a couple buttons next to the job listings in your UI. Generate cover letter - Make a cover letter based off your resume and the job description Generate tailored resume - Create a permutation of your resume to promote things relevant to that job description
  - nico 3y ago
    Yes, those would be amazing Haven’t been able to get it down though. I’ve tried a few prompts in those lines, but I never really like the outputs The iteration is still very helpful in fleshing out a good personalized resume/cover letter, but I feel the app needs something a bit more automated/straightforward for the users Any ideas on how to structure good prompts or a workflow to make it work well in terms of user experience?

nico 3y ago

Sorry, yes, that’s exactly what I meant by “direct inference”; putting the resume and all necessary in the prompt and “trust” the fit evaluation done by the LLM Thank you so much for the insightful comments and pointers If you were expanding the functionality/features of LLM-assisted job searching, what do you think are the most useful challenges to tackle? I have some wild ideas about distributed job searching systems running on people’s command lines hahaha

thomasfromcdnjs 3y ago
I think there is lots of crazy ideas that need to be built, the next job I find I will probably just rely on tools like these for the fun of it. I've got a few that I will chime in later with. A simple one for now, is put a couple buttons next to the job listings in your UI. Generate cover letter - Make a cover letter based off your resume and the job description Generate tailored resume - Create a permutation of your resume to promote things relevant to that job description
- nico 3y ago
  Yes, those would be amazing Haven’t been able to get it down though. I’ve tried a few prompts in those lines, but I never really like the outputs The iteration is still very helpful in fleshing out a good personalized resume/cover letter, but I feel the app needs something a bit more automated/straightforward for the users Any ideas on how to structure good prompts or a workflow to make it work well in terms of user experience?