3 ms·
From my work in AI & robotics, its generally finnicky and a bit crap even when a ton of work goes into it with a lot more compute (jetson nano or higher). I fee
by RugnirViking 4y ago
From my work in AI & robotics, its generally finnicky and a bit crap even when a ton of work goes into it with a lot more compute (jetson nano or higher). I feel like trying to optimise those kinds of models is a bit niche/premature
- steve_adams_86 4y agoAs a hobbyist that has been my perception of the situation as well, though I wasn’t sure if I was just missing something. The potential is immense and exciting, but try as I might, I can’t seem to make even fairly simple things work reliably as I want them to. One thing I love about embedded projects is that you can achieve pretty incredible reliability because everything can be so dialed in and isolated from points of failure in, say, an operating system. Trying to use ML for simple tasks felt like it eliminated that and introduced seemingly arbitrary failure into projects I really needed to work perfectly. Again, just a hobbyist, so I can’t make any broad statements. It seems to align with what you’re saying though. Once we get past this hump and have more powerful/effective models at a reasonable price point, I feel like it could be transformative. At the moment it’s still extremely interesting and fun to experiment with.