Remember the consumerization of IT from ten years ago? Back then it was just dumb simple things, like using Macs at work, or Dropbox. But it’s back now, and the users have ChatGPT! What do we do?
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Today’s AI article looks at ChatGPT’s application architecture from an enterprise IT perspective. While new AI apps are scary at first, it turns out they’re really no different than any client/server cloud-based app, and that’s a good thing for us!
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A lot of people are using the terms “ChatGPT” and “AI” interchangeably. But really ChatGPT is just one specific implementation of one specific type of AI. I explain all this in this article, as well as showing a “family tree” taxonomy of how these models all fit together.
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My latest post on my AI Learning and Exploring adventure is all about AI Influence Disclosures. How much did AI help with the creation of a piece of content, and how should that be disclosed? I like the AIL scale.
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Whelp, I too have been bitten by the generative AI bug over the past few months. I’ve been reading, learning, and talking about this stuff every day, so I decided to start sharing some notes and thoughts. Today’s post is a level-set and a bunch of links I like as a starting point to frame the conversation. Holy moly this is wild!
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