Based on our record, Shadow seems to be a lot more popular than Prodigy. While we know about 320 links to Shadow, we've tracked only 25 mentions of Prodigy. 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.
Upgrade your gaming experience with ShadowPC! Use my referral code "80EDA79" at checkout to snag a cool 5€ off your first subscription. Game on! 🚀. Source: 8 months ago
I had Shadow. There quite affordable when I registered and the hardware was top line. I was using it as my gaming PC for a long time (mainly for PCVR). I live in Spain and these days there wasn't dedicated servers here so I connected through Paris nodes (and that increased a bit the latency) but I play HL Alyx and a lot of games that way with good graphics (in that moment Shadow has a GTX1080 GPU) and great... Source: 12 months ago
Https://shadow.tech/ It’s a cloud PC. I used to use it until I got my current laptop. Not cheap but very good. Source: about 1 year ago
> But then Apple doesn't ship devices with actually powerful GPUs, so it can never compete with the gaming PCs which are far less expensive and far more powerfull graphics-wise. It is still expensive to have to use Windows just so you can game. Or put all the effort into dual booting Linux. Most people just use a Macbook and then get an Xbox/Ps5/Switch/Quest2. For games I can't use on those you can get Shadow PC... - Source: Hacker News / about 1 year ago
There is shadow.tech, which just gives you a full Windows Desktop with a little persistent disk. This should in theory work the way you want to. Source: about 1 year ago
This is really cool. The annotation-to-testing-to-annotation-etc. Feedback loop makes a ton of sense, and I'd encourage others who may be confused on this post to look at the Automotus case study https://encord.com/customers/automotus-customer-story/ for the annotation side, but my understanding is the relationship between model outputs and annotation steering is out of scope for that project - do you know of... - Source: Hacker News / 5 months ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 9 months ago
Prodigy AI - Offers software engineers career coaching, skill assessment, and job matching. Visit Prodigy AI. - Source: dev.to / 10 months ago
I essentially want to use a Combo of OCR + NER to attempt to identify this, but I'm not sure NER is well suited for this, as it is not natural language, so there is little context to go off of. I was thinking of perhaps using Prodigy, a data annotation tool, to annotate Candidate Names, Races, etc, and perhaps it will be able to learn off of image data alone wheat these fields tend to look like. Source: about 1 year ago
I come from a similar application area, where I try to tag (annotation/label) a taxonomy of products iteratively. You are trying something slightly different, AFAIU, labeling a flat set of songs, each song with a set of tags from ontology (directed graph)From an application point of view, this is what taxonomists often do, when migrating products from one catalog to another: mapping one taxonomy to another. There... Source: over 1 year ago
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