https://www.cpard.xyz/posts/mlops_is_mostly_data_engineering/ MLOps is Mostly Data Engineering.22 March 2023Kostas Pardalis “The question here is… why do we need a whole new category of products?… The true need here is developer tooling
What I Read: GPT, Ranking
https://messyprogress.substack.com/p/gpt-is-rather-good-at-feed-ranking GPT is Rather Good at Feed RankingRob EnnalsMar 7 “If ranking is as easy as saying what should rank highly, then lots of interesting things happen.”
What I Read: Abilities Emerging From AI
https://www.quantamagazine.org/the-unpredictable-abilities-emerging-from-large-ai-models-20230316/ The Unpredictable Abilities Emerging From Large AI Models “Large language models like ChatGPT are now big enough that they’ve started to display startling, unpredictable behaviors.”
What I Read: Neural Networks, Locks
https://www.quantamagazine.org/cryptographers-show-how-to-hide-invisible-backdoors-in-ai-20230302/ In Neural Networks, Unbreakable Locks Can Hide Invisible DoorsBen BrubakerMarch 2, 2023 “Cryptographers have shown how perfect security can undermine machine learning models.”
What I Read: Predict Distributions
https://towardsdatascience.com/a-new-way-to-predict-probability-distributions-e7258349f464?gi=3201d118e909 A New Way to Predict Probability DistributionsExploring multi-quantile regression with CatboostHarrison HoffmanFeb 14 “Until recently, the main disadvantage of quantile regression was that one model had to be trained