this post was submitted on 27 Jan 2025
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If you are blindly asking it questions without a grounding resources you're gonning to get nonsense eventually unless it's really simple questions.
They aren't infinite knowledge repositories. The training method is lossy when it comes to memory, just like our own memory.
Give it documentation or some other context and ask it questions it can summerize pretty well and even link things across documents or other sources.
The problem is that people are misusing the technology, not that the tech has no use or merit, even if it's just from an academic perspective.
Yes, I know, I tried all kinds of inputs, ways to query it, including full code-bases etc. Long story short: I'm faster just not caring about AI (at the moment). As I said somewhere else here, I have a theoretical background in this area. Though speaking of, I think I really need to try out training or refining a DeepSeek model with our code-bases, whether it helps to be a good alternative to something like the dumb Github Copilot (which I've also disabled, because it produces a looot of garbage that I don't want to waste my attention with...) Maybe it's now finally possible to use at least for completion when it knows details about the whole code-base (not just snapshots such as Github CoPilot).