Originally published in Forbes, April 10, 2024 When OpenAI’s board momentarily ousted Sam Altman from his post as CEO last November, the media obsession was… intense. Why so much fuss about...
Originally published in GeekWire, April 17, 2024 In-depth Amazon coverage from the tech giant’s hometown, including e-commerce, AWS, Amazon Prime, Alexa, logistics, devices, and more. Amazon�...
Originally published in Strange Loop Canon, April 23, 2024 On goal drift and lower reliability. Or, why can’t LLMs play Conway’s Game Of Life? Every time over the past few years that we cam...
https://www.predictiveanalyticsworld.com/machinelearningtimes/what-can-llms-never-do/13507/
Originally published in KDnuggets. Eric Siegel highlights the chronic under-deployment of ML projects, with only 22% of data scientists saying their revolutionary initiatives usually deploy, an...
Originally published in FinancialPlanning, April 8, 2024 Most advisors agree that AI technology can provide efficiencies, whether it be through streamlining workflow or communicating more effec...
Originally published in MIT News, March 25, 2024 Researchers demonstrate a technique that can be used to probe a model to see what it knows about new subjects. Large language models, such as th...
Originally published in Venture Beat, April 1, 2024 Apple researchers have developed a new artificial intelligence system that can understand ambiguous references to on-screen entities as well ...
Originally published in The New York Times, April 4, 2024 Artificial intelligence is peering into restaurant garbage pails and crunching grocery-store data to try to figure out how to send less...
Originally published in MIT Management, Sloan School, September 19, 2023 Why It Matters Relevance-based prediction can be used in finance, politics, and sports for more accurate forecasting. Wh...
This article from Morgan Vawter, Global Vice President of Data & Analytics at Unilever, serves as the foreword to The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, by ...