Based on our record, Moz should be more popular than Prodigy. It has been mentiond 46 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.
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
Moz - "Optimizing Outlines for SERP Success" Uncover the tactics behind AgilityWriter's Outline Builder in optimizing content outlines for Search Engine Results Page (SERP) success, as discussed in Moz's expert SEO resources. Source: 7 months ago
Moz | Lead/Sr. Data Engineer | REMOTE (USA / Canada) | Full-time | https://moz.com/ We’re a small team building new ETL data pipelines in Go to power Moz’s frontend applications. We leverage AWS (Lambda, SQS, ECS, Eventbridge, S3, etc.), Terraform, and Docker to consume, transform, and aggregate the massive amounts of data provided by our platform & collections teams. I’m specifically looking for a senior engineer... - Source: Hacker News / 7 months ago
Moz: It provides various SEO tools, such as keyword research, rank tracking, link analysis, and on-page optimization recommendations. Source: 12 months ago
In addition to website metrics, track your local search rankings. Several tools, such as Moz Local and BrightLocal, can help you monitor your local search rankings and compare them to your competitors. Source: 12 months ago
Https://ahrefs.com - still prefer this the most. The intangible for me is the ease of custom filtering and data exports. Prices do keep going up tho... Https://moz.com - OG but IMHO they lost their edge; export and data reporting is lacking. Source: about 1 year ago
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