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Notes -
Thanks. I didn't realize they'd finally released 4o image capabilities.
LLMs have been "good enough" for my use cases for a while now. I haven't seen anything like the jump from GPT 3.5 to 4, where prompts that previously had been borderline useless magically became useful. Not that I mind incremental improvement, I'd say that reasoning models were a decent change in terms of QOL and reliability when it came to complex reasoning.
If I had to use an LLM for my day job, then pretty much any recent model would work fine. While medical records can be massive, dense and a PITA to work with, they're not as complex as a large programming project. The whole field was built around humans needing to keep the gist of things in working memory. I'm more constrained by things like data protection laws, access points idiot-proofed by IT, and the lack of tooling to make it easy to transfer records or information back out. Ah, the wonders of the NHS..
I remain quite confident that LLMs will continue to improve, and suspect a lot of the recent sense of being underwhelmed that I've experienced is because the rapid rate of iteration makes changes less stark. They're beating agentic behavior into them, more by the minute.
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