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Readit Newsboxcarr commented on Show HN: JobLens – AI-powered job search for 'Who Is Hiring' kadoa.com/joblens... · Posted by u/hubraumhugo
Your project looks quite impressive as well, especially the extracted URLs to apply and the candidate profiles, didn't get that far yet :) Automating tedious work like data extraction and transformation is a great use case for LLMs.
Not sure if you found this as well, but gpt-3.5-turbo-016 does a poor job following instructions other than parsing. So, to work around this, we prompt gpt-3.5-turbo with the rules we want applied say an extracted field and then go back to gpt-3.5-turbo-016 to parse with chatgpt functions.
Bottom line, every single post requires approximately 10 different prompts to refine the extraction.
boxcarr commented on Show HN: JobLens – AI-powered job search for 'Who Is Hiring' kadoa.com/joblens... · Posted by u/hubraumhugo
JobLens is cool! This past month we had the same idea -- it's been a fun project:
https://hnjobs.u-turn.dev
ChatGPT does an incredible job parsing, but then lots of effort goes into normalizing and deduping each field. Long story short, your results look quite good to me!
boxcarr commented on FoundationDB: A Distributed Key-Value Store cacm.acm.org/magazines/20... · Posted by u/eatonphil
When I saw the post about Foundation DB, I remembered the exact same demo running on a cluster of Raspberry Pi instances! Sadly, no memory of it on YouTube.
Wayback Machine partially to the rescue. Found the page (https://web.archive.org/web/20150325003301/https://foundatio...), but the Vimeo video was nuked when foundationdb.com shutdown. Here's the HN thread about that demo:
Location: Seattle, WA
Remote: yes
Willing to relocate: maybe
Technologies: Go, JavaScript, TypeScript, Python, Postgres, SQLite, SQL, PyTorch, FastAI, LLM, NextJS, React, GCP
Résumé/CV: https://u-turn.dev
Email: dudley@u-turn.dev
Product engineering leader helping build great teams. Twenty-plus years of software development. Over the past decade have helped turn around multiple products and teams in crisis.
Currently focusing on helping organizations apply deep learning and LLMs for information extraction from unstructured sources. A recent project in that vain: https://hnjobs.u-turn.dev
boxcarr commented on Goodreads was the future of book reviews, then Amazon bought it washingtonpost.com/techno... · Posted by u/pseudolus
Goodreads seems to be the Craigslist of the book world: many attempts by others to make a better Goodreads, but none good enough to displace it.
boxcarr commented on FoundationDB: A Distributed Key-Value Store cacm.acm.org/magazines/20... · Posted by u/eatonphil
Back in 2014 or so, I saw the FoundationDB team demo the product at a developer conference. They had the database running across a bunch of machines, with a visual showing their health and data distribution. One team member would then be turning machines on and off (or maybe unplugging them from the network) and you could see FDB effortlessly rebalancing the data across the available nodes. It was a very striking, impressive presentation (especially as we were dealing with the challenges of distributed Cassandra at the time).
When I saw the post about Foundation DB, I remembered the exact same demo running on a cluster of Raspberry Pi instances! Sadly, no memory of it on YouTube.
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From a dev perspective this area has a ton of super interesting algorithmic / math / data structure applications, and computational geometry has always been special to me. It's a lot of fun to work on.
If anyone here is interested in this as a user, I'd love for any feedback or comments, here or you can email me directly: tyler@vexlio.com.
Some pages the HN crowd might be interested in:
* https://vexlio.com/blog/making-diagrams-with-syntax-highligh... * https://vexlio.com/solutions/state-diagram-maker/ * https://vexlio.com/blog/speed-up-your-overleaf-workflow-fast...