Markov Models: A guide for what's next, from where we left off
As an avid reader of this blog (right?), you’ll have heard the terms “Markov model” and “hidden Markov model” thrown around. They might sound intimidating, but they are …
Read more →Technology Leadership & AI Insights
Exploring the intersection of enterprise IT, machine learning, and practical AI — from service management to neural networks.
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Suitcase over there
Writer’s note This post is wrapping up the chain of posts for the LLM part of this blog. After this, I’ll likely be talking about LLMs less and actually getting on the topic of AI as a whole; I want …
Read more →Escape from L(AI)
Right now, someone is paying you to use an LLM. Not figuratively. Not “the economics are favourable for early adopters.” I mean the people selling you tokens are, on every single …
Read more →What Actually Is Token Prediction
What’s a calendar for, anyway? A colleague that I have been discussing LLMs and how they work, said something to me the other day that was technically incorrect, but seemed plausible in the …
Read more →Parkinson's Law, Token Budgets, and the 74% Who Aren't Getting Value From AI
Cyril Parkinson, the British naval historian who gave us Parkinson’s Law, once observed that “work expands so as to fill the time available for its completion.” He was talking about …
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