MACHINE LEARNING

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Only 12% of Enterprises Using AI Gaining Competitive Edge

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@ronald_vanloon

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26 February 2023 5h20

Only 12% of Enterprises Using #AI are Gaining an #Edge
by @CXOtodayAlerts Read more: https://
buff.ly/3PBos8o #BigData #MachineLearning #ArtificialIntelligence #Cloud #ML #MI #Digital #DataScience cc: @terenceleungsf @bigdata @kuriharan

→ View original post on X — @ronald_vanloon

AI Eye Checks Predict Heart Disease Risk in Under One Minute

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@ronald_vanloon

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26 February 2023 4h58

#AI eye checks can predict heart disease risk in less than minute, finds study
by @andrewgregory @guardian Read more: https://
buff.ly/3C8Mp1q #ArtificialIntelligence #DataScience #Tech #HealthTech #ML cc: @ronald_vanloon @pbalakrishnarao @chr1sa

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AI versus Machine Learning: Key Differences and Comparisons

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@ronald_vanloon

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26 February 2023 4h24

#ArtificialIntelligence (#AI) vs. #MachineLearning (#ML): Key comparisons
by Shannon Flynn @VentureBeat Go to: https://
buff.ly/3zJIS8G #BigData #MI #Digital #DataScience #DeepLearning #DL cc: @bigdata @patrickgunz_ch @amuellerml

→ View original post on X — @_jasonwei

LLaMA Performance Analysis: Data Contamination and Benchmark Concerns

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@_jasonwei

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25 February 2023 23h35

LLaMA has strong performance and is a great contribution. Some gentle feedback: it would be great to see a data contamination analysis, since most benchmarks evaluated are >2 years old, and BIG-Bench is omitted. So I'm curious if pre-training data contamination played a role.

→ View original post on X — @abacusai

Feature Stores: Core Infrastructure for ML Systems and Real-Time Data

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@abacusai

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25 February 2023 23h00

Feature stores are at the core of ML systems. They provide storage, management, and serving of features for models. We have a real-time store. You can merge batch and streaming data pipelines and build features in SQL/Python. Check it out! https://
abacus.ai/featurestore

Legal argument for machine learning as expressive use

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25 February 2023 22h27

I wonder if someone with sufficient knowledge of the technology and of Copyright could come up with a legal argument to show that ML is actually an expressive use?

Machine Learning Training and Copyright Bypass Legal Arguments

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25 February 2023 22h14

By saying "Machine Learning and training is a non-expressive use" that just uses the data, you basically try to bypass Copyright internationally. Of course, it's bullshit that high-priced lawyers make up to land Big Tech contracts — or get funding for their University.

Training to Convergence for Optimal Inference Performance

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25 February 2023 22h03

A real search engine shows no sign of the "inference optimal" phrase; I agree with your assessment that you posted in your own thread FWIW. Train to convergence if you want inference optimal.

Optimal in Relative Terms: Chinchilla and Model Training

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25 February 2023 22h02

They use "optimal" in a relative sense. I read it in a reply to my post, and then subsequently looked it up in LLM search engine—which happily told me why "Chinchilla is inference optimal because […]". But that's only relatively to undertrained models.