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Based on our record, Prodigy should be more popular than Motion Firefox. It has been mentiond 25 times since March 2021. 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.
Motion is what your are looking for. https://usemotion.com Disclaimer: I worked there for a bit. - Source: Hacker News / 12 months ago
I use this AI productivity app called "Motion" (usemotion.com). It requires google maps or outlook. I really can't stand that but it's been so helpful for me, I still use google calendar as my main calendar. Source: about 1 year ago
I’m curious to hear more about your experience. I don’t work closely with other people, but I use Motion, which has features specifically for teams to automatically rearrange their 1:1s and tasks based on each other’s availability. Source: over 1 year ago
RE specific products: I'm curious about usemotion.com and https://www.getinflow.io/. Source: over 1 year ago
Motion (usemotion.com) keeps advertising to me and as far as I can tell, it offers one really nice feature which is the ability to have events with concrete durations but times that aren't set in stone so the calendar can automatically move them for you. This seems really interesting to me and I'd be interested in trying it, but much like with Superhuman for email, I just can't justify the price. $34/mo or $240/yr... Source: over 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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