Exploring Large Language Models: ideas worth trying

[james_620a]

I wanted to start a broader ideas worth trying thread around Large Language Models.

A useful angle is quality versus speed, but it also connects with beginner tips. Different tools and workflows can produce very different results even when the goal is similar.

It would be interesting to compare practical examples, experiments, setups, or lessons that show where Large Language Models is genuinely useful and where it still needs improvement.



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[samstu]

In similar situations I normally leave the working setup alone and test large and language separately. It is a bit slower at first, but troubleshooting is much easier. If it works twice in a row, then I would start expanding the test.