Forbes November 11, 2024
Lance Eliot

In today’s column, I closely examine an innovative way of exploring the inner secrets of generative AI and large language models (LLMs) via using a rather old-fashioned mathematical modeling technique known as a Markov chain. You might have heard about or even learned how to make use of Markov chains in a college-level course on statistics and probabilities. No worries if you’ve never dealt with Markov chains since I will be bringing you fully up-to-speed on the absorbing topic.

The crux is that recent work by AI researchers suggests that we can gain important insights about generative AI and LLMs through the application of Markov chains. That’s quite exciting news.

Let’s talk about it.

This analysis of an innovative proposition...

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