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

Maybe similar in spirit as idle games: I used to enjoy BoxCar2D where you just sit back and watch cars evolve using genetic algorithm. The original version[1] requires Flash, but looks like someone ported it to HTML5[2]: [1] http://boxcar2d.com/ [2] https://rednuht.org/genetic_cars_2/. - Source: Hacker News / about 2 months ago

Watch this for a while, it randomly generates a bunch of triangles and circles, the ones that make it furthest to the right have their code passed onto the next generation with random mutations. In almost no time you'll have a bunch of cars that are evolved specifically for the niche of that track. No guidance needed. Source: 6 months ago

You can actually produce a better analogy with a genetic algorithm. In the linked example, you can watch the evolution of simulated cars. Just take note that while the simulation is a good illustration of evolution, it's also, by necessity, vastly simplified. (I guess running for about 4 billion years would incur off-putting cloud costs.). Source: 6 months ago

This really doesn't require a nural net. You can run similar learning algorithms in your browser. Source: about 1 year ago

I learned about genetic algorithms: https://rednuht.org/genetic_cars_2/. Source: about 1 year ago