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...

Today's Sponsors

Venturous
Got healthcare questions? Just ask Transcarent

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Technology
The 3 most promising uses for GenAI in healthcare
OpenAI’s $40 Billion And Circle IPO: AI And Blockchain’s Revolution
The Flawed Assumption Behind AI Agents’ Decision-Making
Q&A: Researcher discusses agentic AI, expected to be the next trend in digital medicine
Generative AI Is A Crisis For Copyright Law

Share This Article