You don't need to be an AI expert to understand that most language models are a mystery.
They're like black boxes, spitting out answers without anyone really knowing how they arrived at them.
But what if you could build your own concentrated language model? What if you could train it specifically for your needs, giving you answers tailored to your business?
This isn't science fiction. It's happening right now, and we spoke with some of the rulebreakers leading the charge.
These are the people who understand that owning and controlling your AI is essential for outgrowing generic AI.
They get that purpose-trained intelligence systems can help companies stay ahead of the curve.
Take OpenAI, for example. The company recently released its latest model, GPT-3, which has been hailed as a breakthrough in natural language processing.
But even with all its power, it's still a black box.
You feed it text, and it spits out text back at you.
But how does it decide what to say? No one really knows.
Compare that to the concentrated language models being built by rulebreakers like Ethan Buenobio, co-founder of C
