cross-posted from: https://lemmy.intai.tech/post/72919
Parameters count:
GPT-4 is more than 10x the size of GPT-3. We believe it has a total of ~1.8 trillion parameters across 120 layers. Mixture Of Experts - Confirmed.
OpenAI was able to keep costs reasonable by utilizing a mixture of experts (MoE) model. They utilizes 16 experts within their model, each is about ~111B parameters for MLP. 2 of these experts are routed to per forward pass.
Related Article: https://lemmy.intai.tech/post/72922
Yeah but the original Wright Flyer was extremely janky. It took decades before planes were safe enough for the general public to fly on them. I doubt it’s going to take decades for LLM’s to get really good, but it’s undeniable that the current generation of these systems are somewhat lacking in quality
Yeah, I agree. Just because it’s bad now, doesn’t mean it won’t be good later. The only way to fix the problems something has is by recognizing them, and working on them. Imagine if people didn’t point out the AI hallucinations? We’d never get anywhere with LLMs. Not shitting on the first guy, I get where he’s coming from it’s a damn cool time to be alive, LLMs are incredible and can only get better from here(that is of course if they don’t keep slapping F*****g censors on it!). but it’s important for us to recognise the flaws in the system so it and we can grow.
And to curb enthusiasm for integrating stuff like this into production systems.
There are currently law suits about copyright violations in training. They are either going to get settled for tons of money or the model will be retrained without that data source. This could have a significant effect on the business model, the business itself, and the models in use, especially over the long term.
There’s a lot to figure out before this is a stable product.
I’m just stoked they exist at all, honestly, never minding any degree of quality. Been living my best geek life lately.