ChatGPT is coming soon to the Azure OpenAI Service
twitter.com
twitter.com
In a way that we care about, or in the “we can use it but you can’t” way that it is already there?
Given that currently the only way to access existing models is by filling in a request form (https://aka.ms/oaiapply) and “who knows?” … don’t hold your breath.
Saying the open ai service “is now generally available” seems like… a creative interpretation of the situation.
(Yes, I know they keep saying “generally available”, but if you actually try to use it you’ll see: “Azure OpenAI Service is available with limited access during the preview. Apply now“)
By the time, world moves from exploration phase to productive one, a “production ready“ ChatGPT will be out with saner cost base.
Is it? I guess it depends on use case. Their site claims that a token is (on average) 4 characters, or roughly .75 words*. Let's say that's generous, and that a token is more like an average of .5 words.
The "Way of Kings" (according to reddit**, at least) is 383,181 words. So, roughly 766,362 tokens. $.02 gets you 1000 tokens, which comes to $15.33.
I dunno what you use it for, and maybe this isn't feasible for your use cases so take this with a grain of salt, but I personally would happily pay $15.33 to be able to send half a "Way of Kings" worth of words to ChatGPT and get half a "Way of Kings" worth of words in response. I mean, I'm certainly not typing half or even a third of the "Way of Kings" in a month to ChatGPT now, even though it's still free. *shrug*
Am I missing something?
* https://openai.com/api/pricing/#faq-token
** https://www.reddit.com/r/brandonsanderson/comments/cncrea/wo...
The same happens with stable diffusion by the way; you need to generate many slightly different (improved) images from the same seed, maybe with inpainting to get to the final piece. That costs many tokens. High token prices as they are lead to (much) worse quality of the end result in sd and gpt.
Doubly strange that pricing also differs.
OpenAI has indicated interest in generating revenue because compute costs are “eye watering“