Improving Generative AI Thought Patterns To Deliver Smarter Results Via Meta’s Thought Preference Optimization

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Improving Generative AI Thought Patterns To Deliver Smarter Results Via Meta’s Thought Preference Optimization
Generative AILarge Language Models LLMThought Preference Optimization TPO
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Dr. Lance B. Eliot is a world-renowned expert on artificial intelligence with over 8.1+ million amassed views of his AI columns and been featured on CBS 60 Minutes. As a CIO/CTO seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research.

In today’s column, I examine a newly published approach to improving generative AI and large language models or LLMs which relies on the longstanding adage for humans that it is best to think before you act. Notably, not only are humans urged to think before they act, but they are further encouraged to continually improve their thinking processes so that they tend to think better each time that they think before they act.

This is an insightful study that seeks to explore and implement many of the facets that I mentioned here. Returning to my point about showing your work during your schooldays, you must admit that writing down your logic was a means of forcing you to get your mind straight. Maybe it was painful and maybe you got dinged at times for making mistakes, but I dare say you are better off for it.

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Generative AI Large Language Models LLM Thought Preference Optimization TPO Meta UC Berkeley NYU Chain Of Thought Cot Advances In AI

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