What are the biggest mistakes with limitations in Large Language Models?

[george_2fkr]

I have a question about Large Language Models that may be useful for other people working with it too.

I am particularly interested in limitations and security. I would like to compare approaches that people have actually used rather than just theoretical suggestions.

What has worked best for you, and what would you avoid?



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[theo_wj2]

I think limitations and large is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. That should make it easier to tell whether the change is actually helping.

 

[finnmountain]

The point about limitations and large is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. The original point — "I have a question about Large Language Models that may be useful for other people working with it too. I am particularly interested in limitations and security. I would like to co…" — gives a useful starting point for that comparison.

 

[eviebuilds7]

On What are the biggest mistakes with limitations in Large Language Models?, the part about limitations and large stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. If you share the exact setup, it would be easier to narrow down which part matters most.