https://maria-antoniak.github.io/2022/07/27/topic-modeling-for-the-people.html Topic Modeling for the PeopleMaria Antoniak “…I’m going to share a set of steps that you can follow to get coherent topics from most datasets. You can think of
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: Functional, Object Oriented Programming
Functional Programming IS NO BETTER Object Oriented ProgrammingContinuous Delivery “Which of these software paradigms will offer you the best chance of success in which instances?”
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: Bloom filter
https://luminousmen.com/post/building-a-bloom-filter Building a Bloom filterluminousmen “In this post, we will explore the Bloom filter — a data structure that is ingenious in its simplicity and elegant in its design.”