hi orange page, author here. QMD is an implementation of the best practices that I picked up in meetings with teams that work in search and retrieval. I tried to make it not overkill and keep things local. Currently working on finetuning better models for query extension and reranking (finetune branch). Feel free to jump in help. Self written and AI PRs welcome.
Cranking out open source tools one day, endurance racing in IMSA LMP2 the next — I love it. Condolences about the DNF, but truly an impressive run nonetheless (especially the first-lap recovery). Kudos to you and your team.
We have been doing BFCM dashboards for the past 10 years now. It's always one of the most fun projects at Shopify and a great tradition now.
You know, it's pretty abstract to run internet software companies. Seeing a visualization like this makes it a lot more relateable even for the folks that work here.
This year we packed it with lots of fun details ( https://twitter.com/Shopify/status/1728040379163771020 ). Like you might see fireworks when a store has their first ever sale, and there are lots of fun city stats which are part generated by GPT4. On desktop you can also open the nerd menu and play around with the settings and share the link to your creation.
I had an entire implementation that used a proper state machine but I couldn’t get it simple and small enough for this single file thing. The regexp chain is dumb but clear.
I've tried to eliminate language around being "too busy" from my vocabulary and attempt to replace it with "can't prioritize". That's sometimes a bit awkward, but really trains better habits. Sometimes I prioritize hobbies if I feel I need it, and doing this seemed fun and useful besides!