Many of the mobile experiences people know and love across our apps like Facebook & Instagram are made possible by running AI models on-device. Today, we’re sharing more information about how Meta uses @PyTorch to enable these experiences
MACHINE LEARNING
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Sparsity Research Reduces AI Training and Inference Costs
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Our team was at #NeurIPS this week, where we made several announcements regarding our research into sparsity. Read our overview of sparsity and how it can be used to reduce cost and time of training and inference: https://
hubs.li/Q01tHYvr0 -
Montreal.AI: Global Leader in Reinforcement Learning and AI Agents
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The fact is that http://
MONTREAL.AI is a worldwide leader in #ReinforcementLearning and #AIAgents since at least 2015 . . . #MontrealAI -
MLOps remediates key AI ML deployment risks effectively
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There are key risks in deploying #AI and #ML that often get overlooked – including backlogs of underperforming model and model degradation. @nyike at @InfoWorld breaks down how #MLOps remediates these risks, with help from Domino’s Kjell Carlsson. https://
domino.buzz/3VvNVDs -
ML Data Science Platform Wins BigDatawire Readers Choice Award
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We're thrilled to be awarded Best Data and #AI Product or Technology: #ML and Data Science Platform in the @BigDATAwireNews (formerly Datanami) Readers’ and Editors’ Choice Awards. A big thank you to our team and everyone who voted!
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Diffusion models extend to discrete space applications
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Diffusion can also work with discrete spaces
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Artificial Narrow Intelligence Versus Artificial General Intelligence Comparison
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#Infographic: Artificial Narrow Intelligence Vs Artificial General Intelligence by @ingliguori #ArtificialIntelligence #ComputerScience #AI #smartmachines #AGI #NarrowAI #MachineLearning #DeepLearning #DataScience #RPA #NeuralNetworks #Robots #Bot #DigitalTwins #ModelOps #MLOps
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ACL Rolling Review adoption in NLP research community
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Curious to hear your rationale. Sounds a bit like ACL Rolling Review (
@ReviewAcl
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Transformers and Accelerate Support Latest PyTorch Nightlies
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This is already supported in the latest releases of Transformers and Accelerate, so you can try it today if you install PyTorch from the nightlies!
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PyTorch 2.0 Compiler Delivers Major Training Speedups
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Today the PyTorch team announced a 2.0 milestone, with focus on a new compiler speeding up PyTorch models with zero change in code. We tried it out in the past few weeks and here are the speedups we observed in our canonical training examples.