I think it is useful with a constrained dataset. Like using it to summarize things about a dataset, or dumping documents into it and asked getting info about it (like Gemini in Google Drive).
It is not useful for general question using the whole-ass internet as a dataset.
Also I wish it was called something other than AI…it’s just a word guesser FFS.
We should are least refer to inference LLMs as LLMs. The fact that if you asked it something like who is the current CS2 top team, it would give you the top team at the time it was trained is enough proof that the models effectively know nothing.
the only useful thing my company and collegues have fold for it is taking meeting notes. it just logs everything and summarizies stuff, and it’s like 90% accurate, but it does make plenty of errors.
however, if i give a presentation with screen sharing, it can’t do shit to summarize that.
I think it is useful with a constrained dataset. Like using it to summarize things about a dataset, or dumping documents into it and asked getting info about it (like Gemini in Google Drive).
It is not useful for general question using the whole-ass internet as a dataset.
Also I wish it was called something other than AI…it’s just a word guesser FFS.
We should are least refer to inference LLMs as LLMs. The fact that if you asked it something like who is the current CS2 top team, it would give you the top team at the time it was trained is enough proof that the models effectively know nothing.
the only useful thing my company and collegues have fold for it is taking meeting notes. it just logs everything and summarizies stuff, and it’s like 90% accurate, but it does make plenty of errors.
however, if i give a presentation with screen sharing, it can’t do shit to summarize that.