MACHINE LEARNING

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03 July 2023 17h13

Oh this post is about vision transformers for images and LLMs for text

Reducing GPU Memory for LLMs and Vision Transformers in PyTorch

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03 July 2023 17h08

One of the big bottlenecks with LLMs & Vision Transformers is GPU memory on consumer devices. Wrote about my favorite techniques for reducing peak memory in PyTorch: https://
lightning.ai/pages/communit
y/tutorial/pytorch-memory-vit-llm/
… Focused on techniques that don't require architecture changes! Suggestions welcome!

→ View original post on X — @tiernanraytech

AI Reshaping Database Market Through Recursive Question-Asking

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@tiernanraytech

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03 July 2023 16h41

Big changes are coming to the database market because of AI The recursive movement of question-asking in AI is going to shake things up. https://
thetechnologyletter.com/the-posts/big-
changes-are-coming-to-the-database-market-because-of-ai
… $SNOW $ORCL @databricks @MosaicML $MSFT #database #investing #bigdata #AI

→ View original post on X — @learnopencv

SAM: Revolutionary Image Segmentation Model with Unmatched Precision

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@learnopencv

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03 July 2023 16h01

🎥New Video:https://t.co/MfidGJzK7w

Dive into the specifics of SAM in our latest video – a game-changing image segmentation model with unmatched precision. #AI #ImageSegmentation #AIInnovation #computervision pic.twitter.com/PBvhLh5BjL
— Satya Mallick (@LearnOpenCV) 3 juillet 2023

New Video: https://
youtube.com/watch?v=mtHEBU
dYRYU
… Dive into the specifics of SAM in our latest video – a game-changing image segmentation model with unmatched precision. #AI #ImageSegmentation #AIInnovation #computervision

Synthetic Data Generation Limitations in Predictive Model Improvement

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03 July 2023 15h55

2/2 I think there's been a lot of research on generating synthetic data to boost predictive models (incl. classifiers). The concern is that you'll never be able to generate anything "new" by recycling models (trained on a fixed dataset) that generate synthetic data.

→ View original post on X — @jeande_d

Clarifying terminology: LMs, LLMs, and MLLMs explained

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@jeande_d

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03 July 2023 15h55

The terms are confusing, I know. LMs are language models. LLMs are large LMs. MLLMs are multimodal LLMs where LLMs are treated as the "prime generalization engine". People using MLLMs in papers should probably say LMM(large multimodals) but I guess they append LLMs to take

Synthetic Data: Predictive Modeling vs Generative Modeling Distinction

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03 July 2023 15h53

I haven't heard of it yet, but it looks like it's related to generating medical images for image segmentation tasks. Looks like a solid approach. I think a crucial difference though is to distinguish between synthetic data for predictive modeling vs generative modeling 1/2.

New Machine Learning and AI Book Confidence Interval Reference

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03 July 2023 15h22

Nice, I haven't seen that, yet! Thanks for the ping! Should probably reference that in the confidence interval section of my new Machine Learning Q and AI book

→ View original post on X — @lawrennd

ICML 2023 Proceedings Volume 202 Now Available on PMLR

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@lawrennd

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03 July 2023 14h03

Volume 202 Proceedings of ICML 2023 https://
proceedings.mlr.press/v202/ Is now available on PMLR.

→ View original post on X — @officialindiaai

AI Transforms Tax Compliance and Fraud Detection in India

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@officialindiaai

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03 July 2023 13h47

AI proves its effectiveness in identifying tax evaders in India and revolutionizing tax compliance & enforcement. Advanced algorithms & data analysis plays a crucial role in identifying financial fraud. Know more about AI's role in tax compliance: