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Prodigy: A new tool for radically efficient machine teaching

explosion.ai

11–20 of 75 posts

Re: Prodigy: A new tool for radically efficient machine teaching

#11
post #8

I love how the SpaCy related websites are always so well designed. Their dependency graph visualizer is just amazing. I know that Ines is behind that one, but don't know about the other stuff. Now coming back to the topic, I have so far just used Jupyter Notebooks and spreadsheets to do annotations and by golly, it is an extremely boring and tedious process. This looks like a fun tool to try out for my next NLP relat…

Explosion is just me and Ines -- so yes, the pages are all made by Ines (with the great illustrations by Frederique Matti). Ines also wrote the bulk of the code for Prodigy itself.

Hats off to you Ines and Frederique. You guys do really great work.

Re: Prodigy: A new tool for radically efficient machine teaching

#12

So this is just fluff?

Nope, not just fluff. New ML model architectures get too much hype, while it's relatively simple tools like this that actually make the difference in whether or not ML can applied to industry problems. The low hanging fruit in the ML industry are in workflow tools rather than novel model architectures. I have a huge amount of respect for the folks at explosion.ai, largely because their solutions are consistently good in practice rather than good in theory.

Re: Prodigy: A new tool for radically efficient machine teaching

#16
post #3

That's a nice UX but the flurry of initial upvotes on this looks kinda fishy, especially given that it's just annotation software.

It's interesting to see how this comes across to people who are outside our ML/NLP bubble. I can definitely relate to the feeling of being confused at why something that looks sort of basic is supposedly significant. It was actually very difficult to build, especially the active learning component for the named entity recognition system.

Re: Prodigy: A new tool for radically efficient machine teaching

#20
Since syllogism is participating in this thread, what kind of active learning are you using? I'm always hesitant to use anything except for IWAL since most of the more common ones aren't actually consistent. Even then, then payoff tends to be kinda disappointing.

(But I'm definitely not an expert)

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