pieterluitjens's profile picture. Co-Founder & CTO 
@_PrivateAI
 (Microsoft-backed)
Try out our text redaction and synthetic data generation live: http://private-ai.com/demo

Pieter Luitjens

@pieterluitjens

Co-Founder & CTO @_PrivateAI (Microsoft-backed) Try out our text redaction and synthetic data generation live: http://private-ai.com/demo

Pieter Luitjens 님이 재게시함

For early adopters, Horace and his PyTorch team released some early in 🤗Transformers benchmarks using Torchdynamo + AOTAutograd There is an example of usage in the benchmark code in github.com/huggingface/tr… e.g. getting 35% speed up and 45% memory improvement on Albert


I really enjoyed attending and speaking at @MLPrague, kudos to the team for organising such a great event. Looking forward to next year :)

#mlprague 2022 is officially over! It was amazing to see you all in person after 2 years! Have a safe trip home and stay tuned for info about #mlprague 2023! The ML Team

MLPrague's tweet image. #mlprague 2022 is officially over! It was amazing to see you all in person after 2 years! Have a safe trip home and stay tuned for info about #mlprague 2023! The ML Team


Pieter Luitjens 님이 재게시함

B1T is fantastic. Just needs to work on game sense, communication, aim, map awareness ...


Pieter Luitjens 님이 재게시함

🎉 Our paper on SoTA unsupervised contrastive sentence embedding was accepted as a long paper by NAACL 2022! Thanks to my co-authors from @MIT_CSAIL @MetaAI @MITIBMLab! arXiv: arxiv.org/abs/2204.10298 code: github.com/voidism/DiffCSE Pretrained models are available on @huggingface

YungSungChuang's tweet image. 🎉 Our paper on SoTA unsupervised contrastive sentence embedding was accepted as a long paper by NAACL 2022! Thanks to my co-authors from @MIT_CSAIL @MetaAI @MITIBMLab!
 
arXiv: arxiv.org/abs/2204.10298
code: github.com/voidism/DiffCSE
Pretrained models are available on @huggingface

Pieter Luitjens 님이 재게시함

In this #TMLS2021 talk, @Piet_El CTO @_PrivateAI will go over the challenges they faced and how they managed to improve the latency and throughput of their Transformer networks, allowing their system to process Terabytes of data easily and cost-effectively bit.ly/TMLS2021

TMLS_TO's tweet image. In this #TMLS2021 talk, @Piet_El CTO @_PrivateAI will go over the challenges they faced and how they managed to improve the latency and throughput of their Transformer networks, allowing their system to process Terabytes of data easily and cost-effectively
bit.ly/TMLS2021

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