Meta AI Introduces Thought Preference Optimization, a Chain-of-Thought (CoT) Reasoning Method, Enabling AI Models to Think before Responding.

Lugh@futurology.today · 3 days ago

Meta AI Introduces Thought Preference Optimization, a Chain-of-Thought (CoT) Reasoning Method, Enabling AI Models to Think before Responding.

Lugh@futurology.today · 3 days ago

Now that scaling is hitting a wall, it will be interesting to see what methods like this continue AI’s progress.

UpperBroccoli@lemmy.blahaj.zone · 3 days ago

Just so you know what to expect, until I blocked it, that thing gorged itself on Elder Scrolls fan fiction on a board I run. So if the answers involve lusty argonian maids, you know why.

notfromhere@lemmy.ml · 3 days ago

This looks like the paper

https://arxiv.org/html/2410.10630v1

Meta AI Introduces Thought Preference Optimization, a Chain-of-Thought (CoT) Reasoning Method, Enabling AI Models to Think before Responding.

Meta AI Introduces Thought Preference Optimization, a Chain-of-Thought (CoT) Reasoning Method, Enabling AI Models to Think before Responding.

Meta AI Introduces Thought Preference Optimization Enabling AI Models to Think before Responding