Can LLMs make idea-sharing truly frictionless?
I want to share valuable ideas on the internet but I don’t want that to be my main thing. I’d rather it be a byproduct of cool stuff that I’m doing. The problem is that if I’m heads-down building,...
I want to share valuable ideas on the internet but I don’t want that to be my main thing. I’d rather it be a byproduct of cool stuff that I’m doing. The problem is that if I’m heads-down building,...
In the Art and Business of Online Writing, Alexander Cole describes the “rate of revelation” as a key metric for how engaging written work is: the rate at which the reader discovers new information...
This is a slideshow presentation accessible here (originally delivered as part of the NHS Fellowship in Clinical AI). It covers what makes reading clinical AI papers different to other papers and ...
Overview What did they do? (in simple English) How does this fit into the wider context? What other studies have been done in that specialty? What other studies have been...
This is a slideshow presentation accessible here (originally delivered as part of this module at Imperial College London). It answers questions including: Why is data science useful? What is ...
This is a slideshow presentation accessible here (originally delivered as part of this module at Imperial College London). It answers questions including: How do neural networks work? (with wor...
This is a slideshow presentation accessible here (originally delivered as part of this module at Imperial College London). It goes into how machine learning models are trained (ie. how they learn)...
This is a slideshow presentation accessible here (originally delivered as part of this module at Imperial College London). It answers questions including: What is sequential data? What are medi...
This is a slideshow presentation accessible here (originally delivered as part of this module at Imperial College London). It answers questions including: Why analyse images? (with use cases) ...
AI models are inherently difficult to interpret so methods have been developed to support interpretability and explainability. Interpretability can be defined as being able to understand what cause...