Andrew Fairless – Page 32 – Andrew Fairless, Ph.D.

What I Read: explainability, survival analysis

By Andrew Fairless on November 21, 2022September 27, 2022

https://medium.com/responsibleml/survex-model-agnostic-explainability-for-survival-analysis-94444e6ce83d survex: model-agnostic explainability for survival analysisMikołaj SpytekSep 19 “… survival models… tells us what is the probability of an event not happening until a given time t…. The complexity…Continue readingWhat I Read: explainability, survival analysis

What I Read: Generative AI

By Andrew Fairless on November 17, 2022September 27, 2022

Generative AI: A Creative New World Generative AI: A Creative New WorldBy Sonya Huang, Pat Grady and GPT-3Published September 19, 2022 “The fields that generative AI addresses—knowledge work and creativeContinue readingWhat I Read: Generative AI

What I Read: Productizing Large Language Models

By Andrew Fairless on November 16, 2022September 27, 2022

https://blog.replit.com/llms Productizing Large Language ModelsWed Sep 21 2022by Amjad Masad, Samip Dahal, Luis Héctor Chávez “Large Language Models (LLMs)… can chat, write poetry, write code, and even do basic arithmetic.Continue readingWhat I Read: Productizing Large Language Models

What I Read: Career in NLP

By Andrew Fairless on November 15, 2022September 27, 2022

Growing a Career in NLP with Primer’s Amy Heineike Growing a Career in NLP with Primer’s Amy Heineike11.16.21 “What if all you needed to jumpstart your career passions was…boredom? That’sContinue readingWhat I Read: Career in NLP

What I Read: Chaos Researchers Can Now Predict

By Andrew Fairless on November 10, 2022September 27, 2022

https://www.quantamagazine.org/ai-algorithm-foresees-chaotic-tipping-points-20220915/ Chaos Researchers Can Now Predict Perilous Points of No ReturnBen BrubakerSeptember 15, 2022 “A custom-built machine learning algorithm can predict when a complex system is about to switch toContinue readingWhat I Read: Chaos Researchers Can Now Predict

What I Read: Transformers, Brain

By Andrew Fairless on November 9, 2022September 27, 2022

https://www.quantamagazine.org/how-ai-transformers-mimic-parts-of-the-brain-20220912/ How Transformers Seem to Mimic Parts of the BrainStephen OrnesSeptember 12, 2022 “Neural networks originally designed for language processing turn out to be great models of how our brainsContinue readingWhat I Read: Transformers, Brain

What I Read: end-to-end, infrastructure, recommendations

By Andrew Fairless on November 7, 2022September 27, 2022

Recommend API Recommend APIUnified end-to-end machine learning infrastructure to generate recommendationsKatrina Ni Senior Software Engineer, Machine LearningAaron Maurer Senior Manager, Software EngineeringSeptember 6, 2022 “…we developed a unified framework weContinue readingWhat I Read: end-to-end, infrastructure, recommendations

What I Read: Neural Tangent Kernel

By Andrew Fairless on November 2, 2022September 27, 2022

https://lilianweng.github.io/posts/2022-09-08-ntk/ Some Math behind Neural Tangent KernelLilian WengSeptember 8, 2022 “Neural tangent kernel… leads to great insights into why neural networks with enough width can consistently converge to a globalContinue readingWhat I Read: Neural Tangent Kernel

What I Read: ML Engineering

By Andrew Fairless on November 1, 2022September 26, 2022

https://www.shreya-shankar.com/phd-year-one/ Thoughts on ML Engineering After a Year of my PhDJuly 18, 2022Shreya Shankar “There are two types of business-critical MLEs. The first is the Task MLE…”

What I Read: deliberately create data

By Andrew Fairless on October 31, 2022September 9, 2022

https://datacreation.substack.com/p/organizations-need-to-deliberately Organizations need to deliberately create dataWhy we need to stop thinking of data as oilYali SassoonSep 5 “Organizations can and should deliberately create data to power machine learning… theyContinue readingWhat I Read: deliberately create data

Author: Andrew Fairless