Deborah Carver is the publisher of The Content Technologist. She is an independent consultant on all things digital publishing, specializing in large content-driven websites.
This newsletter went out a little late today to give new subscribers from today's What's Next event, presented by the Minnesota Interactive Marketing Association (MIMA), a taste of what we're all about. Welcome, new subscribers!
A couple of weeks ago I spoke with Mark...
There’s a lot of online chatter on the new platform-driven internet, the rise of AI, and what all that means for the future. With techno-optimists and legacy media failing to understand what’s actually going on, maybe it’s time to create the internet we really want.
The words we publish and hold up for peer review remain the best representation of our brains at work in the digital world. A published paper is the best way to look closely at the foundational assumptions of LLMs. And those begin with pop culture.
Transformers take static vector embeddings, which assign single values to every token, and expand their context, nearly simultaneously as they process the context of every other word in the sentence. But who cares, let's listen to a pop song!
Even in the face of "black box" algorithms, the history of artificial intelligence—natural language processing, more specifically—has left plenty of clues. While we can't understand the full equation, we can see how building blocks create common patterns in how current algorithms process language.
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