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I'm not sure what you mean by "genuinely." But in the coding context LLMs answer novel questions all the time. My codebase uses components and follows patterns
by pdabbadabba 1y ago
I'm not sure what you mean by "genuinely." But in the coding context LLMs answer novel questions all the time. My codebase uses components and follows patterns that an LLM will have seen before, but the actual codebase is unique. Yet, the LLM can provide detailed explanations about how it works, what bugs or vulnerabilities it might have, modify it, or add features to it.
- MichaelZuo 1y agoIt must not have existed prior in any text database whatsoever.
- pdabbadabba 1y agoIt certainly wasn't. The codebase is thousands of lines of bespoke code that I just wrote.
- drw85 1y agoWhich pretty much every line in it was written similarly somewhere else before, including an explanation and is somehow included in the massive data set it was trained on. So far i have asked the AI some novel questions and it came up with novel answers full of hallucinated nonsense, since it copied some similarly named setting or library function and replaced a part of it's name with something i was looking for.
- pdabbadabba 1y agoAnd this training data somehow includes an explanation of how these individual lines (with variable names unique to my application) work together in my unique combination to produce a very specific result? I don't buy it. And... > pretty much Is it "pretty much" or "all"? The claim that the LLM simply has simply memorized all of its responses seems to require "all."