Thank you for saying this! The number of people that would need to fine tune vs just using RAG is really small. People that are not familiar with the source often jump to fine tuning as an option
I am still unsure where to stand on this fine tuning vs rag. I feel that for live data, rag would be preferable but for daily/weekly updated one, then fine tuning.
Another aspect where I am unsure is multi user for a model e.g. can we have concurrency for a model or the queries have to be queued.
They just said laws, not privacy - the EU has introduced the "world's first comprehensive AI law". Even if it doesn't stop release of these models, it might be enough that the lawyers need extra time to review and sign off that it can be used without Meta getting one of those "7% of worldwide revenue" type fines the EU is fond of.
Am I reading that right? It sounds like they’re outlawing advertising (“Cognitive behavioural manipulation of people”), credit scores (“classifying people based on behaviour, socio-economic status or personal characteristics”) and fingerprint/facial recognition for phone unlocking etc. (“Biometric identification and categorisation of people”)
Maybe they mean specific uses of these things in a centralised manner but the way it’s written makes it sound incredibly broad.
Facebook has shown me ads for both dick pills and breast surgery, for hyper-local events in town in a country I don't live in, and for a lawyer who specialises in renouncing a citizenship I don't have.
At this point, I think paying Facebook to advertise is a waste of money — the actual spam in my junk email folder is better targeted.
Most people would not consider Command R+ to count as the "best permissively licensed model" since CC-BY-NC is not usually considered "permissively licensed" – the "NC" part means "non-commercial use only"