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>Of course it can do more semantic understanding related tasks, because that's what the model does. The problem is that marketing has eroded maintaining any su
by Frost1x 3y ago
>Of course it can do more semantic understanding related tasks, because that's what the model does.
The problem is that marketing has eroded maintaining any such faith. Too often, simple examples are given to the consumer to extrapolate intended functionality because there's no false advertising involved then. It's used over and over again in products, the examples are well selected and don't actually show a good representation of perceived functionality.
As such, I personally can't make the leap to of course it can do more semantic understanding related tasks like a diff that's not as simple, one where perhaps a characters overall personality over the course of the book is shifted, not just a single line that defines their profession.
This isn't to say the demonstrative example isn't neat on its own accord given whats going on here, it is, I'm just saying I can't make such leaps from examples given by any products. When I work with vendors of traditional software, this happens all the time people dance around a lack of functionality you obviously want or need to make a sell. It's only when you force them to be explicit on the specific cases, especially in writing, that I have any faith at all.
- xcv123 3y agoLLM's are specifically designed and trained for semantic understanding related tasks. That's the entire point. They are trained to solve natural language understanding tasks and they build a semantic model in order to solve the tasks.
- chaxor 3y agoI did say it may do certain tasks with low performance. What you're saying is not really understandable (or simply wrong). The fact that it does understand how to do a 'simple' task such as finding where text is different is actually somewhat impressive given the typical training data for these models. But I suppose you need to actually understand the field of NLP to understand why that is. If you're expecting perfection or magic then you will be disappointed.