Re:Introducing ChatGPT and Whisper APIs
by yieldcrv on Wednesday March 01, 2023 @02:15PM
(#34986901)
LLM Legend:
OpenAI = closed source not open AI
DogeLlamaInuGPT = open source AI
Re:Introducing ChatGPT and Whisper APIs
by jalino23 on Wednesday March 01, 2023 @02:21PM
(#34986976)
not open is redundant with closed source
Re:Introducing ChatGPT and Whisper APIs
by yieldcrv on Wednesday March 01, 2023 @03:06PM
(#34987559)
huh, I never thought of that, thanks for pointing that out
Re:Introducing ChatGPT and Whisper APIs
by sebzim4500 on Wednesday March 01, 2023 @04:26PM
(#34988577)
I guess source is connected
Re:Introducing ChatGPT and Whisper APIs
by skybrian on Wednesday March 01, 2023 @03:00PM
(#34987479)
Stable Diffusion isn’t free if you include the cost of the machine. Maybe you already have the hardware for some other reason, though?
To compare total cost of ownership for a business, you need to compare using someone else’s service to running a similar service yourself. There’s no particular reason to assume OpenAI can’t do better at running a cloud service.
Maybe someday you can assume end users have the hardware to run this client side, but for now that would limit your audience.
Ever heard about Federated Learning? This is the way it goes. Also, I do run training with no matrix multiplication, just 3-bit weights, addition in log space, slight accuracy degradation, but much faster CPU only training.
This is why OpenAI is rushing to bring their costs down and to make it close to free, However, Stable Diffusion is leading the race to the bottom and is already at the finish line, since no-one else would release their model as open-source and free other than them.
As soon as someone releases a free and open-source ChatGPT equivalent, then this will be just like what happened to DALLE-2. This is just a way of them locking you in, then once the paid competitors cannot compete and shut down, then the price increases come in.