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PyTorch fast

August 26, 2019 by admin
[D] Why is PyTorch as fast as (and sometimes faster than) TensorFlow? from MachineLearning
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achowdheryAakanksha Chowdhery@achowdhery·
11 May

#GoogleIO2022 showcases reasoning and multilingual capabilities of PaLM model.
https://youtu.be/nP-nMZpLM1A?t=7240
Blog: https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html
arXiv: https://arxiv.org/abs/2204.02311

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christopherChristopher Akiki@christopher·
5 May

A rather hidden @huggingface tokenizers feature: the Visualizer.

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MetaAIMeta AI@MetaAI·
3 May

Today Meta AI is sharing OPT-175B, the first 175-billion-parameter language model to be made available to the broader AI research community. OPT-175B can generate creative text on a vast range of topics. Learn more & request access: https://ai.facebook.com/blog/democratizing-access-to-large-scale-language-models-with-opt-175b

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StackOverflowStack Overflow@StackOverflow·
2 May

I think I can, I think I can, I think I can. #stackoverflowmemes #mememay

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jobergumJo Kristian Bergum@jobergum·
21 Apr

Super excited about these new features we are adding to Vespa, the leading vector database:

- Chose between post filtering or pre filtering at query time when combining vector search with filters
- Up to 2x speed up of hybrid retrieval combining sparse WAND and vector search

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