Every model for how to approach an LLM seems lacking to me. I would suggest anyone using AI heavily to take a weekend and make a simple one to do the handwriting digit recognition. Once you get a feel for basic neural network, then watch a good introduction to alexnet. Then you can think of an LLM as being the next step in the sequence.
>I guess my point is, when you use LLMs for tasks, you're getting whatever other humans have said.
This isn't correct. It embeds concepts that humans have discussed, but can combine them in ways that were never in the training set. There are issues with this, the more unique the combination of concepts, the more likely the output ends up being unrelated to what the user was wanting to see.
>I guess my point is, when you use LLMs for tasks, you're getting whatever other humans have said.
This isn't correct. It embeds concepts that humans have discussed, but can combine them in ways that were never in the training set. There are issues with this, the more unique the combination of concepts, the more likely the output ends up being unrelated to what the user was wanting to see.