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Amazon CloudFront
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KeyCDNKeyCDN is recommended for small to medium-sized businesses, e-commerce sites, bloggers, and web developers who need an efficient and cost-effective CDN solution. Its simplicity and robust support make it an excellent choice for those who want a straightforward setup without sacrificing performance.
KeyCDN is refreshing because it doesnโt overcomplicate things. Itโs easy to set up, the interface actually makes sense, and youโre not buried in confusing options or enterprise-only features. The pricing is just as straightforward โ clear, affordable, and predictable, without hidden fees or surprise costs. It feels built for real people and real teams who just want a fast, reliable CDN without the hassle.
Based on our record, Prodigy seems to be a lot more popular than KeyCDN. While we know about 25 links to Prodigy, we've tracked only 2 mentions of KeyCDN. 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.
Migrate to a good host like Krystal.uk. The difference is night and day. Then, host the file with a CDN like https://bunny.net or https://keycdn.com. Source: about 4 years ago
Use any hosting on the sidebar, and a CDN like bunny or key. Otherwise you'd get banned from a web hosting plan, either from DMCA or auto file uploads. CDNs are designed for constant file uploads and usually warn you if anything illegal is uploaded, or forcefully deletes it. Source: about 4 years 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 / over 2 years 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 / almost 3 years ago
Prodigy AI - Offers software engineers career coaching, skill assessment, and job matching. Visit Prodigy AI. - Source: dev.to / almost 3 years 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 3 years 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 3 years ago
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