Over the past how ever long I’ve ended up using a few different AI models depending on what I’m doing and while there are definitely cases where one seems better than another I’m starting to wonder whether the difference is actually worth managing all of them and some are better for longer documents while some seem more reliable for coding or research and then there are plenty of simpler tasks where I honestly don’t notice enough of a difference to care. I find it very annoying to constantly decide which one to use and keeping track of different accounts/usage when half the time any decent model could probably handle the task. Would you/are you intentionally using different models for different types of work or have you mostly settled on one and only switch when it struggles with something? People using multiple models regularly has the difference in quality/cost actually been large enough to justify the extra complexity or do you think we’ll have something choosing the model for us? submitted by /u/Sweet-Beat3111
Originally posted by u/Sweet-Beat3111 on r/ArtificialInteligence
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