Originally published in The Verge, Sept 20, 2023. Today let’s talk about an advance in Bard, Google’s answer to ChatGPT, and how it addresses one of the most pressing problems with today’s chatbots: their tendency to make things up. From the day that the chatbots arrived last year, their makers warned us not to trust
Originally published in Leigh Marie’s Newsletter, Sept 21, 2023. Or, I’m getting tired of market maps and am ready for some hotter takes. It’s been well over a year since I published my overview of large language models,...
Originally published in together.ai, Sept 11, 2023. Large Language Models (LLMs) have changed the world. However, generating text with them can be slow and expensive. While methods like speculative decoding have been proposed to accelerate the generation...
Originally published in Pete Warden’s Blog, Nov 11, 2022. I like to think (it has to be!) of a cybernetic ecology where we are free of our labors and joined back to nature, returned to our mammal...
Originally published in MIT Technology Review, April 4, 2023. A new kind of machine-learning model built by a team of researchers at the music-streaming firm Spotify captures for the first time the complex math behind counterfactual analysis,...
Originally published in Entrepreneur’s Handbook, Oct 7, 2021 How Postman’s data team set up better onboarding, infrastructure, and processes while growing 4–5x in one year. Postman is no stranger to scale. What started out as a side project...
Originally published in Microsoft Research Blog, Oct 11, 2021 We are excited to introduce the DeepSpeed- and Megatron-powered Megatron-Turing Natural Language Generation model (MT-NLG), the largest and the most powerful monolithic transformer language model trained to date,...
Originally published in Wired, Oct 5, 2021 Drills involving swarms of drones raise questions about whether machines could outperform a human operator in complex scenarios. Last August, several dozen military drones and tanklike robots took to the skies and roads 40 miles...
Originally published in Rest of World, Oct 7, 2021 The Indian food delivery giant changed riders’ beats without warning, crashing their earnings and exposing some to crime. On September 30, around 60 delivery riders wearing the red...
