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craftsquick

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YC offers early interviews for AI companies

ycombinator.com
49 points·by craftsquick·3 tahun yang lalu·81 comments

Together API hosts open source models

together.ai
2 points·by craftsquick·3 tahun yang lalu·0 comments

Ask HN: What is the cleverest use of algorithms you saw at work?

14 points·by craftsquick·3 tahun yang lalu·2 comments

Alpaca RLHF-ed to beat ChatGPT

crfm.stanford.edu
93 points·by craftsquick·3 tahun yang lalu·41 comments

Cerebras releases open source GPT models

businesswire.com
2 points·by craftsquick·3 tahun yang lalu·0 comments

Language Is Not All You Need: Aligning Perception with Language Models

arxiv.org
87 points·by craftsquick·3 tahun yang lalu·25 comments

Ask HN: How do you manage on-prem servers?

27 points·by craftsquick·4 tahun yang lalu·10 comments

Compressing Logs 169x

uber.com
1 points·by craftsquick·4 tahun yang lalu·1 comments

Show HN: Dataset of 100M+ Prices Health Insurers Pay for Procedures

shapedata.retool.com
4 points·by craftsquick·4 tahun yang lalu·0 comments

Show HN: Explore 100M Medical Prices

asre.notion.site
10 points·by craftsquick·4 tahun yang lalu·1 comments

Show HN: No-code data analysis

shapedata.io
1 points·by craftsquick·4 tahun yang lalu·0 comments

Show HN: No-Code SQL Builder

craftsql.com
15 points·by craftsquick·4 tahun yang lalu·6 comments

Show HN: CraftSQL helps you write SQL easily

craftsql.com
1 points·by craftsquick·4 tahun yang lalu·0 comments

comments

craftsquick
·3 tahun yang lalu·discuss
Really sorry about that -- I should've turned off test mode now for Google OAuth. Login work ok now?
craftsquick
·3 tahun yang lalu·discuss
This is a self-plug but shapedata.io does similar things on top of Postgres -- it is much younger than Datasette, so has far fewer features, but should give you a similar exploration experience!
craftsquick
·4 tahun yang lalu·discuss
Hey HN!

I downloaded and parsed through 100M prices negotiated by Blue Cross of Washington (Premera Blue Cross) for all their in-network healthcare procedures. I've compressed about 5TB of JSON data into much easier to work with tables that you can explore yourself. Excited to hear about what you find!
craftsquick
·4 tahun yang lalu·discuss
Thanks! Frontend: React/Redux and React Flow (for the graph) Backend: Node and Knex.js (for the query generation)
craftsquick
·4 tahun yang lalu·discuss
You should be able to build every SQL query with this. I built an example Top-N query here: https://imgur.com/a/2xKLltl

Right now building Top-N (and my example) assumes you know the rank function exists, but over time it should be easy enough to pre-build "nodes" that do things like this automatically :)
craftsquick
·4 tahun yang lalu·discuss
The primary reason was that this was built in one weekend! The information_schema query is a great idea actually, I'll build that in -- thank you!