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by op00to 457 days ago
I find that providing more context and details initially leads to far more success for my uses. Once there’s a bit of context, I can start barking terms and commands tersely.
2 comments

I find more hallucination - like when you're taught as a child to reflect back the question at the start of your answer.

If I am not careful, and "asking the question" in a way that assumes X, often X is assumed by the LLM to be true. ChatGPT has gotten better at correcting this with its web searches.

I am able to get better results with Claude when I ask for answers that include links to the relevant authoritative source of information. But sometimes it still makes up stuff that is not in the source material.

That’s fair. I think the difference here is that the entire context needed is provided.

If you’re having to explain an existing problem with edge cases, then sure, the context window needs the edge cases defined as well.

That’s the biggest problem I have on my local LLM use - limited context size compared to the big guys offerings.