Based on our record, AngelList seems to be a lot more popular than Prodigy. While we know about 353 links to AngelList, 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.
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
Apply where? I only get interview calls from angel.co. Source: about 1 year ago
I know there are things like Workatstartup.com angel.co where we can find some good startups but are there any others? Also, sorry if this is not a place to ask this type of question new here but interested in startups. Source: about 1 year ago
Try these, all free: topstartups.io, angel.co, otta.com. Source: about 1 year ago
+1 always apply directly to the job posting on the company's site. More likely to get seen. If you're looking for startups, topstartups.io is good, along with angel.co. Source: about 1 year ago
In my sophomore year of college in 2020, I discovered Angel.co through a fellow freelancer. Intrigued by the possibility of broadening my horizon beyond Upwork, I took the next step every freelancer yearned for and established my software development agency Mennr, finding our niche in offering our services to startups (at this point, I had formed a team with some buddies I met on Upwork who lived in India and... Source: about 1 year ago
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