Numi App might be a bit more popular than Prodigy. We know about 29 links to it since March 2021 and only 25 links to 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.
This looks fantastic. I will definitely give it a spin. I've been tracking what I call "computational scratchpad" apps for a while now but haven't found one that fits my environment/workflow yet. Maybe Heynote will. Here are some others that I've looked at: * https://soulver.app Granddad of them all, Mac-only, proprietary, expensive * https://numi.app Mac-only, proprietary, semi-expensive. Has a Github and claims... - Source: Hacker News / 7 months ago
Numi is an awesome little calculator app that supports currency conversion. Source: about 1 year ago
Https://numi.app/ is a great calculator, you can define different values and reuse them multiple times in an easy way. Source: about 1 year ago
A free calculator that remembers your last calculation is Numi. Source: about 1 year ago
Apps that can sell themselves: Numi - a way better calculator. Meeter – gives you a timer in your toolbar to showcase your next meeting, you can also easily join the meetings. Bartender – Tidy up your toolbar. Hidden Bar is a free alternative Magnet – Snap windows in place. Rectangle is a free alternative. I just happened to get Magnet. Ryan Hanson is the developer for Magnet, but also Hyperkey. He has some... 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 / 10 months ago
Prodigy AI - Offers software engineers career coaching, skill assessment, and job matching. Visit Prodigy AI. - Source: dev.to / 11 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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