[password54321]

This is not how LLMs work. You aren't 'unlocking' the "Truth" as it doesn't know what the "Truth" is. It is just pattern matching to words that match the style you are looking for. It may be more accurate for you in some cases but this is not a "Truth" instruction set as there is no such thing.

[bwfan123]

addendum: The ground truth for an LLM is the training dataset. Whereas the ground truth for a human is their own experience/qualia with actions in the world. You may argue that only a few of us are willing to engage with the world - and we take most things as told just like the LLMs. Fair enough. But we still have the option to engage with the world, and the LLMs dont.

[jonplackett]

The LLMs we get to use have been prompt engineered and post-trained so much that I doubt the training data is their main influence anymore. If it was you couldn’t change their entire behaviour by adding a few sentences to the personalisation section.

[unshavedyak]

I'm just an ignorant bystander, but is the training dataset the ground truth?

Kind of feels like calling the fruit you put into the blender the ground truth, but the meaning of the apple is kinda lost in the soup.

Now i'm not a hater by any means. I am just not sure this is the correct way to define the structured "meaning" (for lack of a better word) that we see come out of LLM complexity. It is, i thought, a very lossy operation and so the structure of the inputs may or (more likely) may not provide a like-structured output.