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Damn, SpaCy and FastAPI, not to mention Prodigy, make up a huge percentage of our teams development stack. It took us a while to even realize that tiangolo and
by ZeroCool2u 7y ago
Damn, SpaCy and FastAPI, not to mention Prodigy, make up a huge percentage of our teams development stack. It took us a while to even realize that tiangolo and syllogism work together, but there was definitely a moment of slack jawedness across the team when this became clear.
Having built SpaCy from source, Thinc was something I've dealt with in passing before. Needed to look over some of it's source for debugging briefly, but never paid a whole lot of attention to it. This is basically a complete overhaul and it's beautiful.
It blows my mind how productive this team is. ExplosionAI and the SpaCy compatible model implementations from HuggingFace are basically responsible for a _huge_ amount of practical progress in making modern NLP models quickly and easily accessible. Now a general development framework, that frankly makes TF Keras and PyTorch pale in comparison wrt simplicity, is absolutely astounding. Congrats everyone on the release!
Now I need to go back to packing up my apartment and ponder how I'll ever approach this velocity and quality.
- iandanforth 7y agoI'm entering a phase where this stack may play a big part. Have you written up any of your experiences? (Or are you open to emailed questions?)
- ZeroCool2u 7y agoI actually have a draft write up of what I've tentatively termed a "default prototyping stack for data science" but that focuses less on SpaCy/NLP and ML frameworks in general and more on effective methods to produce simple applications that consume your model output, partially via FastAPI actually. I'm happy to answer questions to the extent that I'm able to though. Feel free to contact me via any of the methods available in the link on my profile.