| ▲ | rhdunn 41 minutes ago | |
Welch Labs on YouTube has a great collection of videos on how AI models learn. His recent video [1] covers how image models can learn to encode reasoning in the image processing layers when not given an out of band reasoning set of weights to use instead. I suspect that this applies to LLMs and CoT reasoning vs output token weights. | ||