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mahirsaidtoday at 9:00 AM1 replyview on HN

Yes, however I do suspect that at some point comprehension trumps context. Meaning it will be evedent giving the ability to increase comprehension and retaining whatever context you have goes a long way. I dont have the ability to play such large models. Within the means of my hardware I have already playd around with LLM enough to know where balances will start to cause confliction. Priotizing effeciency within the accuracy. This can mean compromising some other aspect of the AI, or this can be viewed as a positive interoperability.


Replies

Terrettatoday at 11:16 AM

> comprehension trumps context

Consider context as hyper-dimensional coordinate vectors gesturing at the starting concept cluster of a synthesis chain or thread to unspool.

If the model's comprehensive training activated by your context locates the right thread to pull, this could be considered comprehension? That it "got" it?