Databricks’s $1.3 billion buy of MosaicML is a battle for the future of the database At the heart of MosaicML’s approach is the “lottery ticket hypothesis of Jonathan Frankle and Michael Carbin of MIT. @MosaicML @databricks @OpenAI $ORCL $MDB $BASE $MSFT #investing #AI
MACHINE LEARNING
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Fabric positioned between PyTorch and Trainer abstraction levels
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Glad to hear it's useful! Btw if you are already using the Trainer, then you probably don't need Fabric. I would think of Fabric as a thing between pure PyTorch and using the Trainer 🙂
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AI and IIoT Transform Clean Energy Solutions Today
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Join Josh Eastburn, Marketing Director @EMQTech
, as he explores the game-changing possibilities of AI, IIoT, and green tech for clean energy solutions. Don't miss his session: https://
ow.ly/RqnB50OX5Ji #sponsored #emq_iiot #IIoTWorldDay #ai #iiot #energy #cleanenergy @IIoT_World -
Convergence Analysis of Unadjusted Langevin Algorithm
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On the Convergence of the Unadjusted Langevin Algorithm https://
bit.ly/3Cy99sj #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Guide pratique sur l’utilisation des LLMs : modèles, données et applications
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Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond This survey paper provides a comprehensive and practical guide on working with LLMs for various settings(in-context learning & fine-tuning). I like how it approach LLMs usage in lens of models, data, and
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AI-Equipped Eyeglasses Can Read Silent Speech
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AI-equipped eyeglasses can read silent speech
#AI #AIio #BigData #ML #NLU #Futureofwork http://
ow.ly/o36630svSek -
AI-Equipped Eyeglasses Enable Silent Speech Reading Technology
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AI-equipped eyeglasses can read silent speech
#AI #AIio #BigData #ML #NLU #Futureofwork @briansolis @Xbond49 @VitalikButerin @DataScienceCtrl @Benioff @johnnosta @IrmaRaste @Tiffani_Bova http://
ow.ly/2bS930svStZ -
Training YOLOv8 Segmentation Models on Trash Can Dataset
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Get ready to dive into our latest video!https://t.co/wnlOVn7m3k
— Satya Mallick (@LearnOpenCV) 26 juin 2023
We're exploring the 'trash can' dataset and putting it to work, training Ultralytics YOLOv8 segmentation models. #deeplearning #AI #computervision pic.twitter.com/PDEHzPtEOhGet ready to dive into our latest video! https://
youtube.com/watch?v=6J2Pvz
hO_Mk
… We're exploring the 'trash can' dataset and putting it to work, training Ultralytics YOLOv8 segmentation models. #deeplearning #AI #computervision -
AI Research Integrity Crisis: Academic Fraud Parallels Emerge
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What a hustle!
I feel sorry for the students on the paper for starting their journey in such a careless, low-integrity environment. The last time AI hit a bubble was ~2014, and this paper reminds me of Baidu cheating on the Imagenet competition. Similar playbook — threw a https://
x.com/ML_PhDer/statu
/ML_PhDer/status/1672750801234857984
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Open Standardized Benchmarks Essential for AI Model Evaluation
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24/ That's why open, standardized, reproducible benchmarks such as the EleutherAI Harness https://
github.com/EleutherAI/lm-
evaluation-harness/
… or Stanford HELM https://
github.com/stanford-crfm/
helm/
… are invaluable to the community. Without them comparing results across models/papers would be impossible, stifling research!