Website streamed live directly from a model
1–10 of 125 posts
Re: Website streamed live directly from a model
#2For this to really be practical you'd need a way to run networks many times faster and more efficiently than today's GPUs. This is too slow to work even with cloud GPUs powering it.
Maybe someday.
Re: Website streamed live directly from a model
#3But still coming from a frugal background I still cannot wrap my head around this
Re: Website streamed live directly from a model
#4Re: Website streamed live directly from a model
#5Cool project, but just a side thought I was having about how do people have resources and the money to make things like this and make it avl for public, I mean it's fair to say they have their own GPUs or if they are using api keys for gpt or Gemini with enterprise subsidized inference But still coming from a frugal background I still cannot wrap my head around this
and it's really slow. I didn't end up waiting. Not a slight to the creators, let them create. It's just really freaking slow I didn't wait.
Re: Website streamed live directly from a model
#6Re: Website streamed live directly from a model
#7This is one of the more unique ideas i've encountered in a long time
Re: Website streamed live directly from a model
#8Cool project, but just a side thought I was having about how do people have resources and the money to make things like this and make it avl for public, I mean it's fair to say they have their own GPUs or if they are using api keys for gpt or Gemini with enterprise subsidized inference But still coming from a frugal background I still cannot wrap my head around this
I didn't want to even try it because of similar. ("immigrant mentality" they call it around here. it's not a pejorative. TLDR: frugal because starting life over) and it's really slow. I didn't end up waiting. Not a slight to the creators, let them create. It's just really freaking slow I didn't wait.
Re: Website streamed live directly from a model
#9 Gemini generateContent request failed: { "error": { "code": 429, "message": "You exceeded your current quota, please check your plan and billing details. For more information on this error, head to: https://ai.google.dev/gemini-api/docs/rate-limits. To monitor your current usage, head to: https://ai.dev/rate-limit. ", "status": "RESOURCE_EXHAUSTED", "details": [ { "@type": "type.googleapis.com/google.rpc.Help", "links": [ { "description": "Learn more about Gemini API quotas", "url": "https://ai.google.dev/gemini-api/docs/rate-limits" } ] } ] } }