I haven't used anything else, but I'll gladly shill for https://honeycomb.io. - Source: Hacker News / 9 months ago

With all of this in place I went a step further and added Opentelemetry to track the stats of how often the routine was being triggered on Honeycomb. - Source: dev.to / about 1 year ago

Events can be used in many meaningful ways. The Event subsystem of B is pretty much a co-evolution of what honeycomb.io offers, but implemented completely differently - it is on bare-metal, and hence a lot cheaper. Because of that, B never subsampled, but always kept a full low of all events anywhere, no exceptions. Source: about 1 year ago

It should be noted that this is a very oblique ad for http://honeycomb.io. That in no way impugns the content of the post, and in fact, it's given the content of the post that I feel compelled to point out that, ultimately, this is an ad. Because what is sales and advertising, anyway? It's just a way to get you to buy a product, and you can't do that if you've never even heard about the product. I'm not currently... - Source: Hacker News / about 1 year ago

Very cool to see honeycomb.io is doing that. I'm about to embark on my distributed tracing learning journey, this makes me want to try honeycomb right away. Source: over 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