Originally published in Netflix TechBlog, Aug 15, 2022. Introduction This writeup is about using reinforcement learning to construct an optimal list of recommendations when the user has a finite time budget to make a decision from the list of recommendations. Working within the time budget introduces an extra resource constraint for the recommender system. It
Originally published in Noema, Aug 23, 2022. When a Google engineer recently declared Google’s AI chatbot a person, pandemonium ensued. The chatbot, LaMDA, is a large language model (LLM) that is designed to predict the likely next...
Originally published in Mozilla Hacks, July 9, 2022. A browser is an incredibly complex piece of software. With such enormous complexity, the only way to maintain a rapid pace of development is through an extensive CI system that can...
Originally published in NYT Open, Aug 10, 2022. The New York Times launched its paywall in March 2011, beginning its journey as a subscription-first news and lifestyle service. Since its inception, this “metered” access service has been...
Originally published in Medium.com, July 27, 2022. We’ve been long working on improving the user experience in UGC products with machine learning. Here are our ten key lessons of implementing recommendation systems in business to build a...
Originally published in Uber Engineering, July 21, 2022. Introduction “Immensely laborious calculations on inferior data may increase the yield from 95 to 100 percent. A gain of 5 percent, of perhaps a small total. A competent overhauling...
Originally published in Snapchat Engineering, July 11, 2022. Snapchat ad ranking aims to serve the right ad to the right user at the right time. These are selected from millions of ads in our inventory at any...
Originally published in Harvard Business Review, July 15, 2022. Ten years ago we published the article “Data Scientist: Sexiest Job of the 21st Century.” Most casual readers probably remember only the “sexiest” modifier — a comment on their...
Originally published in Nature, July 26, 2022. ‘Data leakage’ threatens the reliability of machine-learning use across disciplines, researchers warn. From biomedicine to political sciences, researchers increasingly use machine learning as a tool to make predictions on the...
