Classifiers to classify things, traditional neural nets to identify things. Typical run of the mill.
In OpenAI hype language, this is a problem for "Software 2.0", not "Software 3.0" in 99% of the cases.
The thing about matching an informal tone would be the hard part. I have to concede that LLMs are probably better at that. But I have the feeling that this is not exactly the feature most companies are looking for, and they would be willing to not have it for a cheaper alternative. Most of them just don't know that's possible.
alt Hacker News
Classifiers to classify things, traditional neural nets to identify things. Typical run of the mill.
In OpenAI hype language, this is a problem for "Software 2.0", not "Software 3.0" in 99% of the cases.
The thing about matching an informal tone would be the hard part. I have to concede that LLMs are probably better at that. But I have the feeling that this is not exactly the feature most companies are looking for, and they would be willing to not have it for a cheaper alternative. Most of them just don't know that's possible.