Prodigy: A new tool for radically efficient machine teaching
1–10 of 75 posts
Re: Prodigy: A new tool for radically efficient machine teaching
#2I like the simpler annotation UI, you can get more of your team active with annotation in a Mechanical Turk fashion.
Re: Prodigy: A new tool for radically efficient machine teaching
#3That's a nice UX but the flurry of initial upvotes on this looks kinda fishy, especially given that it's just annotation software.
Re: Prodigy: A new tool for radically efficient machine teaching
#4link dead already
Re: Prodigy: A new tool for radically efficient machine teaching
#5So this is just fluff?
Re: Prodigy: A new tool for radically efficient machine teaching
#6link dead already
Working for me?
Re: Prodigy: A new tool for radically efficient machine teaching
#7So this is just fluff?
It looks like it was first posted to redit 40 minutes ago.
It looks like it is online during typing of annotation, trying to predict annotations.
When it says teaching, it means teaching the AI. When it says "radical" it means ... getting slightly more data input, and in an online manner.
Re: Prodigy: A new tool for radically efficient machine teaching
#8I 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 related project. Might spice things up!
But I hope that like all SpaCy related ideas, it doesn't assume too much about the problem at hand. I usually use NLTK instead of SpaCy because it allows me to be very flexible, except for the sentence tokenizer, where SpaCy's accuracy is hard to beat.
Re: Prodigy: A new tool for radically efficient machine teaching
#9Re: Prodigy: A new tool for radically efficient machine teaching
#10I 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.