Check out @subirmansukhani
’s technical blog on how to perform hyperparameter optimization. Then try the free accompanying Domino project yourself. https://
domino.buzz/3h6XxFq
RESEARCH
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Hyperparameter Optimization Techniques and Practical Implementation Guide
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Radio’s Role in Nazi Rise: Historical Media Amplification Study
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Analysis of radio broadcasts in pre-WW2 Germany finds pro-democracy broadcasts initially slowed the Nazi rise. But after the Nazis gained access to the airwaves, radio boosted Nazi membership & then it accelerated antisemitism (in areas of Germany that were already antisemitic).
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GPT-3 Requires Chain-of-Thought for Problem Solving, Paper Analysis
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Regardless how a human would do it, GPT-3 needs chain-of-thought to perform on these problems. Only skimmed the paper, but I don't see a specific deficit in ToM vs. known inability to do multi-hop inference without CoT.
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Unlocking AI’s Full Potential for Human Intelligence
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We're Not Using AI to Its Fullest Human Potential https://
time.com/6227118/eric-s
chmidt-ai-human-intelligence/
… @TIME #AI #MachineLearning #DataScience #BigData #Analytics #100DaysofCode #IoT #serverless #womenwhocode #DigitalTransformation #Robots #Python #TensorFlow #DeepLearning -
Adaptive Optimizers Should Track True Squared Gradients
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Adaptive optimizers like Adam track the square of the gradient, but what they receive as the gradient is actually the sum of the gradients across the batch. It seems likely that better results at different hyper parameters could be obtained if backward passes emitted true grad^2.
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Detecting Non-Gaussian Distributions in Machine Learning Models
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The easiest way to see this is to fix the mean to be 0 and then observe that the returned value will never be negative. Thus it can't be Gaussian. Definitely not easy to spot.
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Neural Operators and AI for Science Talk at MIT IAIFI
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It was great visiting @mit @iaifi_news and give a talk about neural operators and AI for science. You can find my talk here https://
youtu.be/RR5-mYQOb7E?t=
1208
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Essential Machine Learning Concepts: 130-Page Cheat Sheet
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READ: 130-page cheat sheet outlining key #MachineLearning concepts: https://
bit.ly/130pgMLsheet
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#ML #BigData #AI #DeepLearning #Algorithms -
LLMs Self-Improve: New State-of-the-Art Reasoning Capabilities
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We recently read ‘Large Language Models Can Self-Improve,’ which demonstrates how to improve the general reasoning ability of multi-billion parameter models and achieve state-of-the-art performance. Have you read it? Check it out and let us know your thoughts! #ML #AI #LLM
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AI Solution for TB Patient Loss-to-Follow-Up Prediction Workshop
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On 1st November, we successfully conducted a workshop with 24 District TB Officers in Mumbai to finalise protocol study designs and field interventions to pilot our AI solution for the prediction of loss to follow-up and mortality in TB patients. @PATHtweets @USAID