Comment on 'It's Literally the Gulag': Furious Meta Employees Speak Out on 'Soul-Crushing' AI Jobs
flying_sheep@lemmy.ml 4 days agoFor sure, my lab has been doing that for a long time.
How is graphdb more ML-friendly?
Comment on 'It's Literally the Gulag': Furious Meta Employees Speak Out on 'Soul-Crushing' AI Jobs
flying_sheep@lemmy.ml 4 days agoFor sure, my lab has been doing that for a long time.
How is graphdb more ML-friendly?
gravitas_deficiency@sh.itjust.works 3 days ago
If you’re doing PSQL (or any typical relational DB flavor), there’s a lot more complexity in terms of understanding the shape of the data, what joins to what, how to optimize queries, etc. Graph DBs are gonna be easier for a model to explore, since they can just do stuff like “I want to see tests with samples that have reactivity to mutation ABC on chromosome 14 over a threshold of X”, which is a lot easier for an ML agent (or less experienced developer, or even a molecular biologist with limited CS/DB experience) to just intuitively evaluate correctly using the syntax of GraphQL than it would be trying to do a shitload of joins between 6 or 7 tables in PSQL.