July 2022 – Andrew Fairless, Ph.D.

What I Read: Against Naive AI Scaling

By Andrew Fairless on July 27, 2022June 27, 2022

https://jacobbuckman.com/2022-06-14-an-actually-good-argument-against-naive-ai-scaling/ An Actually-Good Argument Against Naive AI ScalingJacob BuckmanPosted on June 14, 2022 “…the debate is whether scaled-up language models in the style of GPT-3 will eventually become general intelligences,Continue readingWhat I Read: Against Naive AI Scaling

What I Read: Text Embeddings Visually Explained

By Andrew Fairless on July 26, 2022July 8, 2022

https://txt.cohere.ai/text-embeddings/ Text Embeddings Visually ExplainedMeor AmerJun 28, 2022 “We take a visual approach to gain an intuition behind text embeddings, what use cases they are good for, and how theyContinue readingWhat I Read: Text Embeddings Visually Explained

What I Read: data replication in production

By Andrew Fairless on July 25, 2022June 27, 2022

https://medium.com/shippeo-tech-blog/debezium-to-snowflake-lessons-learned-building-data-replication-in-production-a5430a9fe85b Debezium to Snowflake: Lessons learned building data replication in productionOmar GhalawinjiJun 1 “We use Debezium, an excellent open-source tool to perform log-based Change Data Capture; which is the processContinue readingWhat I Read: data replication in production

What I Read: What is Reinforcement Learning

By Andrew Fairless on July 20, 2022June 27, 2022

https://castlelab.princeton.edu/what-is-rl/ What is Reinforcement LearningWarren B PowellProfessor Emeritus, Princeton University “…I provide a brief introduction to modeling sequential decision problems… and then designing policies. As I watch the evolution ofContinue readingWhat I Read: What is Reinforcement Learning

What I Read: Death of Data Modeling

By Andrew Fairless on July 18, 2022June 27, 2022

https://dataproducts.substack.com/p/the-death-of-data-modeling-pt-1?s=r The Death of Data Modeling – Pt. 1And why it must be resurrected in the Modern Data StackChad Sanderson “The Death of Data Modeling and why it must beContinue readingWhat I Read: Death of Data Modeling

What I Read: Exploring Virtual Worlds, AI

By Andrew Fairless on July 14, 2022July 8, 2022

https://www.quantamagazine.org/ai-makes-strides-in-virtual-worlds-more-like-our-own-20220624/ By Exploring Virtual Worlds, AI Learns in New WaysAllison WhittenContributing WriterJune 24, 2022 “Intelligent beings learn by interacting with the world. Artificial intelligence researchers have adopted a similar strategyContinue readingWhat I Read: Exploring Virtual Worlds, AI

What I Read: Make the Universe Think

By Andrew Fairless on July 13, 2022June 27, 2022

https://www.quantamagazine.org/how-to-make-the-universe-think-for-us-20220531/ How to Make the Universe Think for UsCharlie WoodStaff WriterMay 31, 2022 “Physicists are building neural networks out of vibrations, voltages and lasers, arguing that the future of computingContinue readingWhat I Read: Make the Universe Think

What I Read: Weak Supervision

By Andrew Fairless on July 11, 2022June 27, 2022

https://www.kdnuggets.com/2022/05/weak-supervision-modeling-explained.html Weak Supervision Modeling, ExplainedBy Frederic Sala, Computer Sciences Department at the University of Winsconsin-MadisonMay 27, 2022 “Weak supervision is a way to obtain labels for training data points forContinue readingWhat I Read: Weak Supervision

What I Read: Dynamic Time Warping

By Andrew Fairless on July 6, 2022June 27, 2022

https://www.kdnuggets.com/2022/05/dynamic-time-warping-algorithm-time-series-explained.html Dynamic Time Warping Algorithm in Time Series, ExplainedBy Nagesh Singh ChauhanKDnuggetsMay 26, 2022 “In time series analysis, Dynamic Time Warping (DTW) is one of the algorithms for measuring theContinue readingWhat I Read: Dynamic Time Warping

What I Read: Bundling into the Database

By Andrew Fairless on July 5, 2022June 27, 2022

https://www.ethanrosenthal.com/2022/05/10/database-bundling/ Let’s Continue Bundling into the DatabaseEthan RosenthalMay 10, 2022 “Truthfully, I just want to argue that feature stores, metrics layers, and machine learning monitoring tools are all abstraction layersContinue readingWhat I Read: Bundling into the Database

Month: July 2022