Developed a Rovo Agent that finds similar resolved tickets in history using semantic similarity for a TODO ticket.
It worked and suggested similar tickets for the first couple of days. After that, it was completely off (suggestions are wrong), and it works sometimes and is off again.
Is there a way to correct this behaviour and gives accurate answers all the time ?
And is this behavior because of model choice, so that some models are giving it right and others are off?
Hi @Ramathirtha Randhi and welcome to the Community.
Here's another Community debate on the subject of Rovo hallucinations
On a more general note, LLM prediction models do 'hallucinate' (get things wrong), unfortunatelly.
You must be a registered user to add a comment. If you've already registered, sign in. Otherwise, register and sign in.