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Based on our record, Gather Town seems to be a lot more popular than Facebook.ai. While we know about 68 links to Gather Town, we've tracked only 2 mentions of Facebook.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Tools like Gather Town to encourage more ad hoc group interaction. One team I led used this tool daily for nearly a year, and the frequency and quality of our interactions were on par with an in-person office. - Source: dev.to / 9 months ago
Well, after some more googling I found a good candidate: gather.town if anyone is interested. Source: 12 months ago
Our Guides will host live sessions throughout the April 28-30th weekend in our custom http://gather.town space to spark connections and learning among global participants. You'll form diverse teams, uncover shared goals, and explore a wide range of issues through the lens of Complexity! Source: about 1 year ago
I'm really digging gather.town for this. Our team has it set up & the ad-hoc "meetings" have gone up tremendously. You can choose to engage or not but it seems to be way more informal than slack for a quick sync, which is a gigantic strength imo. Source: about 1 year ago
As mentioned above by @yowzas648 you should check out https://gather.town We started using it this week with my team and it is game changing, it does exactly what you just described. Source: about 1 year ago
Many settings affect the outputs in interesting ways, but that's half the fun. These LoRAs are very lightly trained; more training may or may not help. The competitions are also performed using zero-shot text guessing, and if Facebook said it, you can bet that's actually Meta AI saying it, and they are leaders in the field. Source: about 1 year ago
You should look at the entire niche of MAE-related papers, that's quite exciting, and the neuroscience-inspired stream of stuff like Barlow Twins. As well, the official Facebook AI blog is surprisingly good coverage of much of the interesting un/semi-supervised DL research FAIR does, and worth going through. Source: almost 2 years ago
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