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nravic

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This is super interesting! We do something similar I think by taking a checkpoint after model initialization. I'm curious what you think about our approach, here's some benchmarks: https://docs.cedana.ai/articles/performance-of-cedanas-gpu-i...

We do some on-the-fly optimizations as well (like compiling into CUDA graphs or fusing together calls) which ends up resulting (for some inference engines) faster token throughput too.

Hey! I'd love to learn more about the position - the hook @ jpl email on your website is bouncing though. Do you mind sending me contact details so we can chat?

Thanks :)

If you're looking at aerospace/defense startups, this is usually the case.

It's not unheard of for them to employ people who's primary role is grant writing to try and get (for example) SBIR funding

I sent you an email two months ago, and asked about a follow up last month (after which I sent an email). So here's another follow up (with which I'll also send another email) in the hopes that you see it. Would love to talk to you about the kind of work you do, specifically with ML and how you use actual clinical data