It takes a lot of energy to train the models in the first place, but very little once you have them. I run mixture of agents on my laptop, and it outperforms anything openai has released on pretty much every benchmark, maybe even every benchmark. I run it quite a bit and have noticed no change in my electricity bill. I imagine inference on gpt4 must almost be very efficient, if not, they should just switch to piping people open sourced llms run through MoA.
Are you saying you have a local agent that is better than anything OpenAI has released? Where did this agent come from? Did you make it from scratch? How are you not worth billions if you can out perform them on “every benchmark”?
My dude, no, I’m not the creator, settle down. Mixture of agents is free and open to anyone to use. Here is a demo of it by Matthew Berman. It isnt hard to set up.
It takes a lot of energy to train the models in the first place, but very little once you have them. I run mixture of agents on my laptop, and it outperforms anything openai has released on pretty much every benchmark, maybe even every benchmark. I run it quite a bit and have noticed no change in my electricity bill. I imagine inference on gpt4 must almost be very efficient, if not, they should just switch to piping people open sourced llms run through MoA.
Are you saying you have a local agent that is better than anything OpenAI has released? Where did this agent come from? Did you make it from scratch? How are you not worth billions if you can out perform them on “every benchmark”?
My dude, no, I’m not the creator, settle down. Mixture of agents is free and open to anyone to use. Here is a demo of it by Matthew Berman. It isnt hard to set up.
https://youtu.be/aoikSxHXBYw
Believe it or not, openai is no longer making the best models. Claude Sonnet 3.5 is much better than openai’s best models by a considerable amount.