30,000 AI models
too many really. But from what I read in conversations and posts I notice one thing: you all try out Model all the time and that’s fine, but I haven’t yet read that anyone habitually uses one Model over others. It seems like you use one template for a few days and then start with a new one. Don’t have your favorite? Which?
cause the majority suck very bad compared to chatgpt
There is ton of fine tuned models and maybe 6-7 quantisized models per model and fine tuned models, open source, business usable, uncensored, for RAG, for photo description, for TTS, for CV, with updates of checkpoints and so on.
At the contrary fortunately there is people and enough diversity to adapt with hardware and objectives without pay fortunes to train, finetune models.
ie: If your needs are commercial, with a model speaking fluently spanish, small enough to inference fast for many clients and with censor, 100% on your local server, treating with confidential data there is almost no choice
Instead of making all these models the effort would be way more valuable if focused on making things more efficient. Methods to execute models on lower spec machines. The barrier to entry is way to big for larger models, not everyone lives in places where a 4090 is remotely an option.
I feel it’s just a lazy copout that relies on just throwing more power rather than careful optimized design like the video game industry today.