You can have LLMs draft documentation based on callcentre communication - that’s what I meant by creating
With regards to searching, the thinking models seem really good at finding what you need when you don’t know what exactly to search for
“Semantic search” / “semantic indexing”. Yes. Would be a great thing to optionally have. But you don’t need to hook it up to a prompt and have it spit out natural language output.
It could be just like a standard search with search results, just with a backend that looks at more stuff based on meaning not just explicit word matching. And search engines have worked like this for years to be fair.
But I agree, the general purpose chatbots are probably helpful to get a foothold on looking something up when you don’t really know what it’s called or how to concisely describe it. The problem is that the companies that make them have every incentive to feed you their explanation too, not just point you in the right direction and have you leave their service.
You can have LLMs draft documentation based on callcentre communication - that’s what I meant by creating With regards to searching, the thinking models seem really good at finding what you need when you don’t know what exactly to search for
“Semantic search” / “semantic indexing”. Yes. Would be a great thing to optionally have. But you don’t need to hook it up to a prompt and have it spit out natural language output.
It could be just like a standard search with search results, just with a backend that looks at more stuff based on meaning not just explicit word matching. And search engines have worked like this for years to be fair.
But I agree, the general purpose chatbots are probably helpful to get a foothold on looking something up when you don’t really know what it’s called or how to concisely describe it. The problem is that the companies that make them have every incentive to feed you their explanation too, not just point you in the right direction and have you leave their service.