Tag: natural language processing
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Podcast | Lex Fridman interviews Sam Altman (OpenAI)
I really enjoyed this conversation between Lex Fridman and Sam Altman. Sam is the CEO of OpenAI, who developed the GPT large language model, and the ChatGPT interface. I thought that his responses were thoughtful and considered. The conversation veers toward the technical, but there’s enough at a high level for this to be useful…
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Generative AI in higher education – HELTASA conference
This is a recording of a presentation I gave at the HELTASA conference, on the topic of generative AI in higher education. The focus of the talk was on ChatGPT but I tried to think about generative AI more broadly, including image generators like Midjourney and Stable Diffusion. I also tried to avoid making this…
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Having a conversation with an article through natural language processing
Thanks to Ben Gordon for pointing me towards explainpaper. In How to read a book (1972), Mortimer Adler says that “Reading…should be a conversation between you and the author.” Which is why I don’t read without a figurative pen in my hand; As I’m reading I want to mark up the text with questions and…
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How to replace a physiotherapist (or any professional, really)
Rowe, M., Nicholls, D. A., & Shaw, J. (2021). How to replace a physiotherapist: Artificial intelligence and the redistribution of expertise. Physiotherapy Theory and Practice. I’m really excited to finally share this article that I’ve been working on for a couple of years with David Nicholls and Jay Shaw. I say a couple of years…
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WCPT poster: Introduction to machine learning in healthcare
My poster and list of references for the WCPT 2019 conference in Geneva.
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Mozilla’s Common Voice project
Any high-quality speech-to-text engines require thousands of hours of voice data to train them, but publicly available voice data is very limited and the cost of commercial datasets is exorbitant. This prompted the question, how might we collect large quantities of voice data for Open Source machine learning? Source: Branson, M. (2018). We’re intentionally designing…
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Doctors are burning out because electronic medical records are broken
For all the promise that digital records hold for making the system more efficient—and the very real benefit these records have already brought in areas like preventing medication errors—EMRs aren’t working on the whole. They’re time consuming, prioritize billing codes over patient care, and too often force physicians to focus on digital recordkeeping rather than…