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Seems like passing the input with a question of "where should this input be handled?" into the LLM would be a good first step.
by taberiand 3y ago
Seems like passing the input with a question of "where should this input be handled?" into the LLM would be a good first step.
- Chinjut 3y agoWhy would the LLM be any good at determining where the input should be handled?
- explaininjs 3y agoThere's a long history of "this looks hard, I won't implement/fix it" in GitHub issues the LLM can train on.
- mynameisvlad 3y agoAnd then the LLM can probably know whether an issue can be fixed or not. That’s far from generalizing the problem though.
- dartos 3y agoLLMs have shown some limited ability to generalize. (Opinion) I think internally, they record how closely 2 words are in meaning based on the training data. If everyone uses similar language to describe different problems, then the LLM should be able to at least act like it’s generalizing
- deleted 3y ago[deleted]
- Metasky 3y agoThe first tasks of gpt was to evaluate the emotion of a sentence. Like determine if a comment/review is good or bad.
- astrange 3y agoGPT4 uses a "mixture of experts" system which is already sort of kind of like doing this.
- jejeyyy77 3y agocan probably easily be interpreted from the text?
- SketchySeaBeast 3y agoDid we just discover a new halting problem?
- babyshake 3y agoIt doesn't seem like this should be the case. Humans can estimate the complexity of a task without performing the task. Why couldn't an advanced LLM?
- SketchySeaBeast 3y agoIsn't a large part of software development's difficulty that people can't actually do that?
- bumby 3y ago>Humans can estimate the complexity of a task without performing the task. I would argue this ability drops precipitously as the complexity grows. That's part of the reason cost and schedule estimates are notoriously unreliable on big projects.