You can learn it practically if you take a couple of anatomy classes oriented towards a medical career. A good chunk never really get used outside of precision in documentation, if it’s a specialty (everyone says “cheek”, but the dentist says “buccal”), or if the common term is actually too vague to work with (broken arm -> greenstick fracture of the left radius)
Taking an anatomy class to talk like a plastic surgeons billing notes is just weird.
You can learn it practically if you take a couple of anatomy classes oriented towards a medical career. A good chunk never really get used outside of precision in documentation, if it’s a specialty (everyone says “cheek”, but the dentist says “buccal”), or if the common term is actually too vague to work with (broken arm -> greenstick fracture of the left radius)
Taking an anatomy class to talk like a plastic surgeons billing notes is just weird.
With AI, finding new paths and blocking others is how cool and useful things are found. The truth sayer is in the token perplexity scores. Lots of seldom found cool spaces can be accessed by exploring esoteric nomenclature from many perspectives and contexts.
Diffusion base model training companies are targeting medical, but also the gaming and film industries. These targets are part of the base model. Our easily available open source model loader code is very limited in how it is implemented, but esoteric nomenclature syntax and semantics can create interesting results.
Where does one learn this language practically? –AI dial the futanari friend rule
You can learn it practically if you take a couple of anatomy classes oriented towards a medical career. A good chunk never really get used outside of precision in documentation, if it’s a specialty (everyone says “cheek”, but the dentist says “buccal”), or if the common term is actually too vague to work with (broken arm -> greenstick fracture of the left radius)
Taking an anatomy class to talk like a plastic surgeons billing notes is just weird.
You can learn it practically if you take a couple of anatomy classes oriented towards a medical career. A good chunk never really get used outside of precision in documentation, if it’s a specialty (everyone says “cheek”, but the dentist says “buccal”), or if the common term is actually too vague to work with (broken arm -> greenstick fracture of the left radius)
Taking an anatomy class to talk like a plastic surgeons billing notes is just weird.
With AI, finding new paths and blocking others is how cool and useful things are found. The truth sayer is in the token perplexity scores. Lots of seldom found cool spaces can be accessed by exploring esoteric nomenclature from many perspectives and contexts.
Diffusion base model training companies are targeting medical, but also the gaming and film industries. These targets are part of the base model. Our easily available open source model loader code is very limited in how it is implemented, but esoteric nomenclature syntax and semantics can create interesting results.
Wat.