A collaboration with @PyTorch to make transformer-based models faster using optimum library! Up to 4.5x speedup for text, vision and audio models using a one liner! Try it out now: https://
huggingface.co/docs/optimum/b
ettertransformer/overview
…
MACHINE LEARNING
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PyTorch Optimum Achieves 4.5x Speedup for Transformer Models
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Data Science Misconceptions and 2023 Trends Interview
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Want to be a data scientist in 2023? Check out this @VentureBeat interview with @DalianaLiu
, Sr. Data Scientist at @predibase & host of the Data Scientist Podcast, to learn about 3 common #datascience misconceptions and trends for the future. https://
pbase.ai/3TTIix5 -
Domino showcases MLOps platform at AWS reInvent 2022
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@awscloud #reInvent 2022 is one week away! Are you going? Domino is the only hybrid/multi-cloud #mlops platform, we're excited to show you the latest. See what we'll be showing along with partners like @NVIDIA
, @NetApp
, @VMware
, @SnowflakeDB
, and more: https://
domino.buzz/3EkRHYW -
Research Papers and PhD Blog Post Recommendations
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These are the papers: https://
arxiv.org/abs/2201.11903 https://
arxiv.org/abs/1901.11196 https://
arxiv.org/abs/2210.11416 https://
openreview.net/forum?id=gEZrG
CozdqR
… Also, i saw this from Andrej Karpathy's blog: http://
karpathy.github.io/2016/09/07/phd/ -
ML4Audio Paper Reading: OpenAI Whisper Speech Recognition
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Come one, come all! We're back with ML 4 Audio paper readings! This time we'll unravel the mysteries behind @OpenAI Whisper and what makes it so good at speech recognition and other Seq2Seq tasks! We'll be live this Thursday, 24th Nov, 18:00 CET on @huggingface discord
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Top 10 Tech Trends 2023: AI Everywhere and Metaverse Growth
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10 Tech Trends 2023: #AI Everywhere & Parts of #Metaverse Take-Off! https://
forbes.com/sites/bernardm
arr/2022/11/21/the-top-10-tech-trends-in-2023-everyone-must-be-ready-for/
… @pierrepinna @sallyeaves @PawlowskiMario @Xbond49 @gvalan @SpirosMargaris @JimMarous @TheRudinGroup @HaroldSinnott @Shi4Tech @mikeflache #MachineLearning #DeepLearning #Fintech #5G #ESG -
Make with H2O: Kaggle Grandmasters Q&A and Competition Strategies
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Join us next week for Make with http://
H2O.ai! In this exclusive Make session, you will have the opportunity to ask Kaggle Grandmasters data science questions, hear winning Kaggle competition strategies, and more! Register: https://
h2o.ai/events/make-wi
th-h2o/?utm_campaign=Make-With-H2O&utm_source=twitter&utm_medium=Organic-Social
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Free Statistics and Probability Course for Machine Learning Beginners
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100% free Statistics and Probability course. If you want to get into machine learning, this course is ideal. No prerequisites, you can start today, and it won't take you longer than a month to finish it. https://
khanacademy.org/math/statistic
s-probability
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Transformers Finally Added: Critical AI Architecture Recognition
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Thank you for adding Transformers! Many miss it which is wrong in 2022!
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Comparison of GPT-3 and GPT-4 Parameter Counts
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Currently, GPT-3 has 175 billion parameters, which is 10x faster than any of its closest competitors. GPT-4 is rumored be about 100 trillion parameters.