
In conversation with… Factual questions for Large Language Models
As I stated in the last “In conversation with” article, I split the questions into three sets. Factual, picture analysis and data analysis. This is […]
As I stated in the last “In conversation with” article, I split the questions into three sets. Factual, picture analysis and data analysis. This is […]
We provided a broad range of questions to the AIs we tested. They’re documented here and cover factual questions, wider information gathering, picture analysis and data analysis.
Read more to see what we went into.
An experiment with Large Language Models. How well do they provide advice on diabetes issues?
Could incretins therapy effectively reduce the effects and thus risk of diabetes complications amongst all those with diabetes? A discussion of the mechanisms and actions that might lead to this conclusion.
In a transformative moment for diabetes care and medtech strategy, two major players—Medtronic and Ypsomed—have announced spin-offs or divestments of their diabetes divisions. Do these […]
Somehow, Douglas Adams got the message exactly right with the phrase “Life, the Universe and Everything”. At least that’s what it feels like. However, whilst […]
A long time ago in a galaxy far, far away…. The CE mark was created. But what is it? The definition according the the EU […]
As seems to have become the norm in the preamble to the Advanced Technologies and Treatments in Diabetes conference, another accuracy study was released in […]
The holiday For the past two weeks, I’ve been on a bit of a holiday of a lifetime, taking in the Big 5 (elephant, rhino, […]
In the first part of these two sections dedicated to Libre’s minute by minute data, we looked at how the data presented and what that […]
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