rhogar

6 ms·

1.
by rhogar 7mo ago
This is very close to the thesis, or at least theme, of the essays in The Mythical Man-Month, Fred Brooks. Some elements are dated (1975), but many feel timeless. Brooks law “Adding manpower to a late software project makes it later” is jus
2.
by rhogar 2y ago
Congratulations on the launch! Personally would love to see a rough estimates of the expected number of requests and tokens required to run tasks like synthetic data generation for different amounts of data. Though this is likely highly var
3.
by rhogar 3y ago
The report does not detail hardware -- though it states that SDXL has 2.6B parameters in its UNet component, compared to SD 1.4/1.5 with 860M and SD 2.0/2.1 with 865M. So SDXL has roughly 3x more UNet parameters. In January, Mosai
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by rhogar 3y ago
Additional discussion from post two days ago: https://news.ycombinator.com/item?id=36443676
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by rhogar 3y ago
Though inference for the 8B model is almost definitely not capable of near real time inference yet, we’re approaching babelfish territory. Main difference perhaps being this is powered by burning massive amounts of carbon as opposed to a fi
6.
by rhogar 3y ago
Performance on so few examples is impressive, paired with generalizability across broader tasks, and multiple embodiments + environments (and from just visual goals rather than complex verbal instructions) is quite a jump from where we saw
7.
Video-LLaMA: Instruction-Tuned Audio-Visual Lang Model for Video Understanding(github.com)
1 points by rhogar 3y ago|0 comments
8.
by rhogar 3y ago
Seems an excellent opportunity to cross post recent reporting of insurance companies reevaluating their partnership with GRAIL after more than 400 patients were incorrectly told they may have cancer. Significant benefits, but only with thou
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by rhogar 3y ago
The broader context of the target audience of this language is very important here — it’s oriented towards the familiarity and needs of a community most comfortable with python