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I added support to these models to my llm-gemini plugin, so you can run them like this (using uvx so no need to install anything first): export LLM_GEMINI_KE
by simonw 1y ago
I added support to these models to my llm-gemini plugin, so you can run them like this (using uvx so no need to install anything first):
export LLM_GEMINI_KEY='...'
uvx --isolated --with llm-gemini llm -m gemini-flash-lite-latest 'An epic poem about frogs at war with ducks'
Release notes: https://github.com/simonw/llm-gemini/releases/tag/0.26 https://github.com/simonw/llm-gemini/releases/tag/0.26
Pelicans: https://github.com/simonw/llm-gemini/issues/104#issuecomment-3335485366 https://github.com/simonw/llm-gemini/issues/104#issuecomment...
- canadiantim 1y agoWho wins in the end? the frogs? the ducks? or the pelicans?
- zamalek 1y agoI wonder if [good examples of] SVGs of pelicans on bikes are "being introduced" into training sets. Some of the engineers who work on this stuff are the kind to hang out here.
- simonw 1y agoIt's possible, but honestly I've never seen a decent vector illustration of a pelican on a bicycle myself so they'd have to work pretty hard to find one!
- dimal 1y agoThey could just ask a designer to do a few bespoke illustrations, then generate synthetic data from that, right? Have an image model generate a set of variations, then convert them to SVG. But looking at these images, Google clearly hasn’t done that yet.
- simonw 1y agoYeah, the dedicated image generators can produce really good pelicans riding bicycles now, and you could trace one of those into a vector SVG as training data. I don't think it would be worth it though, it would be pretty obvious you had cheated on my benchmark when it drew a perfect pelican riding a bicycle and then failed at a flamingo on a unicycle.