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#thinc

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Daniël de Kok :verified:

2022 has been a very productive year for us #spaCy #thinc #prodigy #explosion . We have written up some of the highlights:

explosion.ai/blog/year-in-revi

ExplosionExplosion in 2022: Our Year in Review · ExplosionIt's been another exciting year at Explosion! We've developed a new end-to-end neural coref component for spaCy, improved the speed of our CNN pipelines up to 60%, and published new pre-trained pipelines for Finnish, Korean, Swedish and Croatian. We've also released several updates to Prodigy and introduced new recipes to kickstart annotation with zero- or few-shot learning. Further, we launched two popular new services – spaCy Tailored Pipelines and spaCy Tailored Analysis, published several technical blog posts and reports, and created a bunch of new videos covering many tips and tricks to get the most out of our developer tools.
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Daniël de Kok :verified:

We recently added support for running spaCy transformer models on Apple Silicon Mac GPUs.

Madeesh Kannan and I have written a blog post with some background and a lot of benchmarks:

explosion.ai/blog/metal-perfor

Teasers: transformer pipelines run 4.7 times faster on the M1 Max GPU cores than on its AMX units and the MacBook Air M2 uses less power for GPU inference than CPU inference.

ExplosionFast transformer inference with Metal Performance Shaders · ExplosionWe are happy to introduce support for Metal Performance Shaders in Thinc PyTorch layers. This makes it possible to run spaCy transformer-based pipelines on GPU on Apple Silicon Macs and improves inference speed up to 4.7 times.
#spacy#thinc#apple
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